commit a8cd0c01a66a38c29746680996b40ee9718dc02a Author: ModelHub XC Date: Sun Sep 13 02:13:17 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: fpadovani/heb-hebr-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..ee0b54c --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: fpadovani/heb-hebr-10mb-ppt-shuff-dyck-10mb_seed3407 +library_name: transformers +model_name: heb-hebr-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407 +tags: +- generated_from_trainer +- trl +- sft +licence: license +--- + +# Model Card for heb-hebr-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407 + +This model is a fine-tuned version of [fpadovani/heb-hebr-10mb-ppt-shuff-dyck-10mb_seed3407](https://huggingface.co/fpadovani/heb-hebr-10mb-ppt-shuff-dyck-10mb_seed3407). +It has been trained using [TRL](https://github.com/huggingface/trl). + +## Quick start + +```python +from transformers import pipeline + +question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" +generator = pipeline("text-generation", model="fpadovani/heb-hebr-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407", device="cuda") +output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] +print(output["generated_text"]) +``` + +## Training procedure + +[Visualize in Weights & Biases](https://wandb.ai/f-padovani-university-of-groningen/new_tokenizers/runs/aljavg50) + + +This model was trained with SFT. + +### Framework versions + +- TRL: 0.23.0 +- Transformers: 4.56.2 +- Pytorch: 2.11.0 +- Datasets: 4.8.4 +- Tokenizers: 0.22.1 + +## Citations + + + +Cite TRL as: + +```bibtex +@misc{vonwerra2022trl, + title = {{TRL: Transformer Reinforcement Learning}}, + author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, + year = 2020, + journal = {GitHub repository}, + publisher = {GitHub}, + howpublished = {\url{https://github.com/huggingface/trl}} +} +``` \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1000/added_tokens.json b/checkpoint-1000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-1000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1000/config.json b/checkpoint-1000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-1000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-1000/generation_config.json b/checkpoint-1000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-1000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1000/model.safetensors b/checkpoint-1000/model.safetensors new file mode 100644 index 0000000..e4fead7 --- /dev/null +++ b/checkpoint-1000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d42e21195a1a0baccedd353e4f3b748e85d1fdcb034a1246bd12dbd93bc06f59 +size 78179408 diff --git a/checkpoint-1000/rng_state.pth b/checkpoint-1000/rng_state.pth new file mode 100644 index 0000000..8ec39b1 --- /dev/null +++ b/checkpoint-1000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0503aa6ab7ce0d4102483283517cf2f578ec272bf627adb60653492dc28281a3 +size 14645 diff --git a/checkpoint-1000/special_tokens_map.json b/checkpoint-1000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-1000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-1000/spiece.model b/checkpoint-1000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-1000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-1000/tokenizer_config.json b/checkpoint-1000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-1000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1000/trainer_state.json b/checkpoint-1000/trainer_state.json new file mode 100644 index 0000000..8f4fc26 --- /dev/null +++ b/checkpoint-1000/trainer_state.json @@ -0,0 +1,2056 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0672717565403096, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 473725573079040.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-1000/training_args.bin b/checkpoint-1000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-1000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-1500/added_tokens.json b/checkpoint-1500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-1500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1500/config.json b/checkpoint-1500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-1500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-1500/generation_config.json b/checkpoint-1500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-1500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1500/model.safetensors b/checkpoint-1500/model.safetensors new file mode 100644 index 0000000..902f1a5 --- /dev/null +++ b/checkpoint-1500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c17f2347836aca6434c8d5f9dc038300c7fc57d41ba1b2cbebca41fe754848b7 +size 78179408 diff --git a/checkpoint-1500/rng_state.pth b/checkpoint-1500/rng_state.pth new file mode 100644 index 0000000..f115247 --- /dev/null +++ b/checkpoint-1500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f9e86149f1ed8bf1634926130f1059262f3ff65ca13225c11d110e201f145f5 +size 14645 diff --git a/checkpoint-1500/special_tokens_map.json b/checkpoint-1500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-1500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-1500/spiece.model b/checkpoint-1500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-1500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-1500/tokenizer_config.json b/checkpoint-1500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-1500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1500/trainer_state.json b/checkpoint-1500/trainer_state.json new file mode 100644 index 0000000..be32e06 --- /dev/null +++ b/checkpoint-1500/trainer_state.json @@ -0,0 +1,3067 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.6011745862253068, + "eval_steps": 500, + "global_step": 1500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 712646251683840.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-1500/training_args.bin b/checkpoint-1500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-1500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-2000/added_tokens.json b/checkpoint-2000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-2000/config.json b/checkpoint-2000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-2000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-2000/generation_config.json b/checkpoint-2000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-2000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2000/model.safetensors b/checkpoint-2000/model.safetensors new file mode 100644 index 0000000..b9538ae --- /dev/null +++ b/checkpoint-2000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8caed66a63bff33f642da08b03fb7a07eaebb30bf5199cb729427c7be91267d8 +size 78179408 diff --git a/checkpoint-2000/rng_state.pth b/checkpoint-2000/rng_state.pth new file mode 100644 index 0000000..f646318 --- /dev/null +++ b/checkpoint-2000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:61575f725cc60993d8d9b9ac4a20ba72e8699a43de832f030fd0396de7b1eecd +size 14645 diff --git a/checkpoint-2000/special_tokens_map.json b/checkpoint-2000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-2000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-2000/spiece.model b/checkpoint-2000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-2000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-2000/tokenizer_config.json b/checkpoint-2000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-2000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2000/trainer_state.json b/checkpoint-2000/trainer_state.json new file mode 100644 index 0000000..fd6e071 --- /dev/null +++ b/checkpoint-2000/trainer_state.json @@ -0,0 +1,4078 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.134543513080619, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 948753236920320.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-2000/training_args.bin b/checkpoint-2000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-2000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-2500/added_tokens.json b/checkpoint-2500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-2500/config.json b/checkpoint-2500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-2500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-2500/generation_config.json b/checkpoint-2500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-2500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2500/model.safetensors b/checkpoint-2500/model.safetensors new file mode 100644 index 0000000..d86c70e --- /dev/null +++ b/checkpoint-2500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d11a8458d520e5c332b1dac4dd950fbc6ae48493911612fc55cae8aed62abcfb +size 78179408 diff --git a/checkpoint-2500/rng_state.pth b/checkpoint-2500/rng_state.pth new file mode 100644 index 0000000..71838ac --- /dev/null +++ b/checkpoint-2500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:698b15f7a1e11cf2bfbdbd5d47e99ed8ed6ae7667b1f8cf99cca15d672ad6902 +size 14645 diff --git a/checkpoint-2500/special_tokens_map.json b/checkpoint-2500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-2500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-2500/spiece.model b/checkpoint-2500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-2500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-2500/tokenizer_config.json b/checkpoint-2500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-2500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2500/trainer_state.json b/checkpoint-2500/trainer_state.json new file mode 100644 index 0000000..dc85cfd --- /dev/null +++ b/checkpoint-2500/trainer_state.json @@ -0,0 +1,5089 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.6684463427656167, + "eval_steps": 500, + "global_step": 2500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1186495988336640.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-2500/training_args.bin b/checkpoint-2500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-2500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-3000/added_tokens.json b/checkpoint-3000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-3000/config.json b/checkpoint-3000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-3000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-3000/generation_config.json b/checkpoint-3000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-3000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3000/model.safetensors b/checkpoint-3000/model.safetensors new file mode 100644 index 0000000..0b0ac25 --- /dev/null +++ b/checkpoint-3000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e08a56a554ee6734c207193deb02b6fd5e5f79f622405f29c6a58313be36bc95 +size 78179408 diff --git a/checkpoint-3000/rng_state.pth b/checkpoint-3000/rng_state.pth new file mode 100644 index 0000000..96a9657 --- /dev/null +++ b/checkpoint-3000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f5d676b3a06fe5e55e0941e9b7aeda4c22dd015ba44c971ddcda34e1ffaee232 +size 14645 diff --git a/checkpoint-3000/special_tokens_map.json b/checkpoint-3000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-3000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-3000/spiece.model b/checkpoint-3000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-3000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-3000/tokenizer_config.json b/checkpoint-3000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-3000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3000/trainer_state.json b/checkpoint-3000/trainer_state.json new file mode 100644 index 0000000..56e6a75 --- /dev/null +++ b/checkpoint-3000/trainer_state.json @@ -0,0 +1,6100 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.201815269620929, + "eval_steps": 500, + "global_step": 3000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1429176152309760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-3000/training_args.bin b/checkpoint-3000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-3000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-3500/added_tokens.json b/checkpoint-3500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-3500/config.json b/checkpoint-3500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-3500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-3500/generation_config.json b/checkpoint-3500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-3500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3500/model.safetensors b/checkpoint-3500/model.safetensors new file mode 100644 index 0000000..e4593a0 --- /dev/null +++ b/checkpoint-3500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:71110ffba3bd9cdfcdf312785e24b91e72296b6528649c225a3b92e7d947094a +size 78179408 diff --git a/checkpoint-3500/rng_state.pth b/checkpoint-3500/rng_state.pth new file mode 100644 index 0000000..decf7a4 --- /dev/null +++ b/checkpoint-3500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f1bc02e43670fd78b8d3bd65e5db55edf38d353b06aa084d3752718d695259b8 +size 14645 diff --git a/checkpoint-3500/special_tokens_map.json b/checkpoint-3500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-3500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-3500/spiece.model b/checkpoint-3500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-3500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-3500/tokenizer_config.json b/checkpoint-3500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-3500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3500/trainer_state.json b/checkpoint-3500/trainer_state.json new file mode 100644 index 0000000..dd85af1 --- /dev/null +++ b/checkpoint-3500/trainer_state.json @@ -0,0 +1,7111 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.7357180993059265, + "eval_steps": 500, + "global_step": 3500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1664893546905600.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-3500/training_args.bin b/checkpoint-3500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-3500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-4000/added_tokens.json b/checkpoint-4000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-4000/config.json b/checkpoint-4000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-4000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-4000/generation_config.json b/checkpoint-4000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-4000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4000/model.safetensors b/checkpoint-4000/model.safetensors new file mode 100644 index 0000000..a7a0f26 --- /dev/null +++ b/checkpoint-4000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e712953cc9ec72eb878b6018a4954fb4006b2204ec1947280ed66699262c142 +size 78179408 diff --git a/checkpoint-4000/rng_state.pth b/checkpoint-4000/rng_state.pth new file mode 100644 index 0000000..6608072 --- /dev/null +++ b/checkpoint-4000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8e581734a95de237d989a352616e3bc23365499fa35971d77a89ebcc5444c771 +size 14645 diff --git a/checkpoint-4000/special_tokens_map.json b/checkpoint-4000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-4000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-4000/spiece.model b/checkpoint-4000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-4000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-4000/tokenizer_config.json b/checkpoint-4000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-4000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4000/trainer_state.json b/checkpoint-4000/trainer_state.json new file mode 100644 index 0000000..7f1f719 --- /dev/null +++ b/checkpoint-4000/trainer_state.json @@ -0,0 +1,8122 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.269087026161238, + "eval_steps": 500, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1898878099230720.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-4000/training_args.bin b/checkpoint-4000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-4000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-4500/added_tokens.json b/checkpoint-4500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-4500/config.json b/checkpoint-4500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-4500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-4500/generation_config.json b/checkpoint-4500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-4500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4500/model.safetensors b/checkpoint-4500/model.safetensors new file mode 100644 index 0000000..40e32eb --- /dev/null +++ b/checkpoint-4500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:038850941bf617819e3c02bde0981d64d3f25d2f98ab6ac52730d87d3a3d370b +size 78179408 diff --git a/checkpoint-4500/rng_state.pth b/checkpoint-4500/rng_state.pth new file mode 100644 index 0000000..1518e44 --- /dev/null +++ b/checkpoint-4500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d9711bbed4c0f1d78f86a882d4624c2c1c866448f1527de51733719a1f5fd6f4 +size 14645 diff --git a/checkpoint-4500/special_tokens_map.json b/checkpoint-4500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-4500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-4500/spiece.model b/checkpoint-4500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-4500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-4500/tokenizer_config.json b/checkpoint-4500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-4500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4500/trainer_state.json b/checkpoint-4500/trainer_state.json new file mode 100644 index 0000000..d6a2390 --- /dev/null +++ b/checkpoint-4500/trainer_state.json @@ -0,0 +1,9133 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.802989855846236, + "eval_steps": 500, + "global_step": 4500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2138954913976320.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-4500/training_args.bin b/checkpoint-4500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-4500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-500/added_tokens.json b/checkpoint-500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-500/config.json b/checkpoint-500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-500/generation_config.json b/checkpoint-500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-500/model.safetensors b/checkpoint-500/model.safetensors new file mode 100644 index 0000000..86ede8e --- /dev/null +++ b/checkpoint-500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7da318e4b3da8535825b00df085301d70f2bd5bfb066f590fd5990537ea848b +size 78179408 diff --git a/checkpoint-500/rng_state.pth b/checkpoint-500/rng_state.pth new file mode 100644 index 0000000..5ab9873 --- /dev/null +++ b/checkpoint-500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:043040b0997be9ff94ec7780ce15e0b69d100ac5d0843465d35faa3ffc57d0f3 +size 14645 diff --git a/checkpoint-500/special_tokens_map.json b/checkpoint-500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-500/spiece.model b/checkpoint-500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-500/tokenizer_config.json b/checkpoint-500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-500/trainer_state.json b/checkpoint-500/trainer_state.json new file mode 100644 index 0000000..b5c4e6f --- /dev/null +++ b/checkpoint-500/trainer_state.json @@ -0,0 +1,1045 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.5339028296849974, + "eval_steps": 500, + "global_step": 500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 236538190725120.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-500/training_args.bin b/checkpoint-500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-5000/added_tokens.json b/checkpoint-5000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-5000/config.json b/checkpoint-5000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-5000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-5000/generation_config.json b/checkpoint-5000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-5000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5000/model.safetensors b/checkpoint-5000/model.safetensors new file mode 100644 index 0000000..45f7f60 --- /dev/null +++ b/checkpoint-5000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7833ee7d472019fe3d54932fa33f276420e3d621d4c009315512f3f62aaefdef +size 78179408 diff --git a/checkpoint-5000/rng_state.pth b/checkpoint-5000/rng_state.pth new file mode 100644 index 0000000..8f70277 --- /dev/null +++ b/checkpoint-5000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96923e5d58428ec4c34214eb3516ebf8b658678136461aa753bd4185bfb84db3 +size 14645 diff --git a/checkpoint-5000/special_tokens_map.json b/checkpoint-5000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-5000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-5000/spiece.model b/checkpoint-5000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-5000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-5000/tokenizer_config.json b/checkpoint-5000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-5000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5000/trainer_state.json b/checkpoint-5000/trainer_state.json new file mode 100644 index 0000000..d80ec15 --- /dev/null +++ b/checkpoint-5000/trainer_state.json @@ -0,0 +1,10144 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.336358782701549, + "eval_steps": 500, + "global_step": 5000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2378434517821440.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-5000/training_args.bin b/checkpoint-5000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-5000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-5500/added_tokens.json b/checkpoint-5500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-5500/config.json b/checkpoint-5500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-5500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-5500/generation_config.json b/checkpoint-5500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-5500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5500/model.safetensors b/checkpoint-5500/model.safetensors new file mode 100644 index 0000000..305b649 --- /dev/null +++ b/checkpoint-5500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:37b7adc7b477dd85b84ed1384d647c7bc639251f59efc5de33c38be1af3a159d +size 78179408 diff --git a/checkpoint-5500/rng_state.pth b/checkpoint-5500/rng_state.pth new file mode 100644 index 0000000..488db88 --- /dev/null +++ b/checkpoint-5500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e74ff5fb8dc3d54d7ada866f4d5c322b7b4ad7de5f84fd6fd79f54388dbd0732 +size 14645 diff --git a/checkpoint-5500/special_tokens_map.json b/checkpoint-5500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-5500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-5500/spiece.model b/checkpoint-5500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-5500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-5500/tokenizer_config.json b/checkpoint-5500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-5500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5500/trainer_state.json b/checkpoint-5500/trainer_state.json new file mode 100644 index 0000000..c775cf5 --- /dev/null +++ b/checkpoint-5500/trainer_state.json @@ -0,0 +1,11155 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.870261612386546, + "eval_steps": 500, + "global_step": 5500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2613488496076800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-5500/training_args.bin b/checkpoint-5500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-5500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-6000/added_tokens.json b/checkpoint-6000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-6000/config.json b/checkpoint-6000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-6000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-6000/generation_config.json b/checkpoint-6000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-6000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6000/model.safetensors b/checkpoint-6000/model.safetensors new file mode 100644 index 0000000..0a3c72f --- /dev/null +++ b/checkpoint-6000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:add9458c92fe819cd1dd90ab43528c800e08c4d737b9af3487b1783f170da8df +size 78179408 diff --git a/checkpoint-6000/rng_state.pth b/checkpoint-6000/rng_state.pth new file mode 100644 index 0000000..60288d3 --- /dev/null +++ b/checkpoint-6000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0d0353eaf3ed23e0fca2e25c26d545be9de2b2de5f3b2ca8eac1cf3607ffeba +size 14645 diff --git a/checkpoint-6000/special_tokens_map.json b/checkpoint-6000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-6000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-6000/spiece.model b/checkpoint-6000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-6000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-6000/tokenizer_config.json b/checkpoint-6000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-6000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6000/trainer_state.json b/checkpoint-6000/trainer_state.json new file mode 100644 index 0000000..1cd69ea --- /dev/null +++ b/checkpoint-6000/trainer_state.json @@ -0,0 +1,12166 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.403630539241858, + "eval_steps": 500, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2855454927575040.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-6000/training_args.bin b/checkpoint-6000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-6000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-6500/added_tokens.json b/checkpoint-6500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-6500/config.json b/checkpoint-6500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-6500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-6500/generation_config.json b/checkpoint-6500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-6500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6500/model.safetensors b/checkpoint-6500/model.safetensors new file mode 100644 index 0000000..481c97a --- /dev/null +++ b/checkpoint-6500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0050714b4c524906d699dfa7b0e4072f13312563cf7a7209669f93c0af522fa0 +size 78179408 diff --git a/checkpoint-6500/rng_state.pth b/checkpoint-6500/rng_state.pth new file mode 100644 index 0000000..7f44a2b --- /dev/null +++ b/checkpoint-6500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:336fca6220930a70e2fe77ec901115668c913c58d5e59164d62d3a4776a68aac +size 14645 diff --git a/checkpoint-6500/special_tokens_map.json b/checkpoint-6500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-6500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-6500/spiece.model b/checkpoint-6500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-6500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-6500/tokenizer_config.json b/checkpoint-6500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-6500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6500/trainer_state.json b/checkpoint-6500/trainer_state.json new file mode 100644 index 0000000..c0beb9e --- /dev/null +++ b/checkpoint-6500/trainer_state.json @@ -0,0 +1,13177 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.9375333689268555, + "eval_steps": 500, + "global_step": 6500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3092264295782400.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-6500/training_args.bin b/checkpoint-6500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-6500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-7000/added_tokens.json b/checkpoint-7000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-7000/config.json b/checkpoint-7000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-7000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-7000/generation_config.json b/checkpoint-7000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-7000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7000/model.safetensors b/checkpoint-7000/model.safetensors new file mode 100644 index 0000000..a2cb507 --- /dev/null +++ b/checkpoint-7000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9200190e50c9b54091f238875d4f1f32f7fc23435cb4e7051560900b831bf3e7 +size 78179408 diff --git a/checkpoint-7000/rng_state.pth b/checkpoint-7000/rng_state.pth new file mode 100644 index 0000000..23ed4c8 --- /dev/null +++ b/checkpoint-7000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dd309b40c83df307feb0bc180b0819ac78ac076c9b494a78cad8626f90f695f3 +size 14645 diff --git a/checkpoint-7000/special_tokens_map.json b/checkpoint-7000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-7000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-7000/spiece.model b/checkpoint-7000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-7000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-7000/tokenizer_config.json b/checkpoint-7000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-7000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7000/trainer_state.json b/checkpoint-7000/trainer_state.json new file mode 100644 index 0000000..66238de --- /dev/null +++ b/checkpoint-7000/trainer_state.json @@ -0,0 +1,14188 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.470902295782167, + "eval_steps": 500, + "global_step": 7000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + }, + { + "entropy": 6.271717882156372, + "epoch": 6.942872397223705, + "grad_norm": 1.125, + "learning_rate": 0.00016761451107534249, + "loss": 5.5262, + "mean_token_accuracy": 0.19075504094362258, + "num_tokens": 14241584.0, + "step": 6505 + }, + { + "entropy": 6.278272104263306, + "epoch": 6.948211425520555, + "grad_norm": 1.1640625, + "learning_rate": 0.00016724319549474534, + "loss": 5.5543, + "mean_token_accuracy": 0.19189462959766387, + "num_tokens": 14252571.0, + "step": 6510 + }, + { + "entropy": 6.322755002975464, + "epoch": 6.953550453817405, + "grad_norm": 1.1796875, + "learning_rate": 0.00016687226034153624, + "loss": 5.6389, + "mean_token_accuracy": 0.17759112566709517, + "num_tokens": 14263470.0, + "step": 6515 + }, + { + "entropy": 6.299075269699097, + "epoch": 6.958889482114255, + "grad_norm": 1.1640625, + "learning_rate": 0.00016650170692527407, + "loss": 5.5459, + "mean_token_accuracy": 0.1799885153770447, + "num_tokens": 14274241.0, + "step": 6520 + }, + { + "entropy": 6.338451814651489, + "epoch": 6.964228510411105, + "grad_norm": 1.234375, + "learning_rate": 0.0001661315365541702, + "loss": 5.5802, + "mean_token_accuracy": 0.1735849931836128, + "num_tokens": 14284542.0, + "step": 6525 + }, + { + "entropy": 6.280116224288941, + "epoch": 6.969567538707955, + "grad_norm": 1.09375, + "learning_rate": 0.00016576175053508357, + "loss": 5.5888, + "mean_token_accuracy": 0.1822688788175583, + "num_tokens": 14295504.0, + "step": 6530 + }, + { + "entropy": 6.25789065361023, + "epoch": 6.974906567004805, + "grad_norm": 1.1796875, + "learning_rate": 0.00016539235017351634, + "loss": 5.571, + "mean_token_accuracy": 0.18007161021232604, + "num_tokens": 14306575.0, + "step": 6535 + }, + { + "entropy": 6.347195148468018, + "epoch": 6.980245595301655, + "grad_norm": 1.3125, + "learning_rate": 0.00016502333677360887, + "loss": 5.5981, + "mean_token_accuracy": 0.17393214553594588, + "num_tokens": 14316677.0, + "step": 6540 + }, + { + "entropy": 6.3871876239776615, + "epoch": 6.9855846235985055, + "grad_norm": 1.1640625, + "learning_rate": 0.00016465471163813576, + "loss": 5.5593, + "mean_token_accuracy": 0.18010709881782533, + "num_tokens": 14327027.0, + "step": 6545 + }, + { + "entropy": 6.316414451599121, + "epoch": 6.990923651895355, + "grad_norm": 1.0390625, + "learning_rate": 0.00016428647606850033, + "loss": 5.5865, + "mean_token_accuracy": 0.18866724222898484, + "num_tokens": 14338771.0, + "step": 6550 + }, + { + "entropy": 6.340197610855102, + "epoch": 6.9962626801922045, + "grad_norm": 1.25, + "learning_rate": 0.00016391863136473118, + "loss": 5.5756, + "mean_token_accuracy": 0.17773306369781494, + "num_tokens": 14350028.0, + "step": 6555 + }, + { + "entropy": 6.26469612121582, + "epoch": 7.00106780565937, + "grad_norm": 1.0703125, + "learning_rate": 0.0001635511788254765, + "loss": 5.5193, + "mean_token_accuracy": 0.18587267564402687, + "num_tokens": 14359688.0, + "step": 6560 + }, + { + "entropy": 6.269435834884644, + "epoch": 7.00640683395622, + "grad_norm": 1.21875, + "learning_rate": 0.00016318411974800025, + "loss": 5.4091, + "mean_token_accuracy": 0.18694305717945098, + "num_tokens": 14369892.0, + "step": 6565 + }, + { + "entropy": 6.2558362007141115, + "epoch": 7.01174586225307, + "grad_norm": 1.078125, + "learning_rate": 0.00016281745542817716, + "loss": 5.3584, + "mean_token_accuracy": 0.192064106464386, + "num_tokens": 14381383.0, + "step": 6570 + }, + { + "entropy": 6.297444868087768, + "epoch": 7.01708489054992, + "grad_norm": 1.1640625, + "learning_rate": 0.0001624511871604884, + "loss": 5.4562, + "mean_token_accuracy": 0.192567777633667, + "num_tokens": 14391590.0, + "step": 6575 + }, + { + "entropy": 6.312979078292846, + "epoch": 7.02242391884677, + "grad_norm": 1.1640625, + "learning_rate": 0.00016208531623801702, + "loss": 5.3939, + "mean_token_accuracy": 0.1895030602812767, + "num_tokens": 14402345.0, + "step": 6580 + }, + { + "entropy": 6.3703536033630375, + "epoch": 7.02776294714362, + "grad_norm": 1.2421875, + "learning_rate": 0.00016171984395244276, + "loss": 5.4881, + "mean_token_accuracy": 0.18503127098083497, + "num_tokens": 14412769.0, + "step": 6585 + }, + { + "entropy": 6.305860710144043, + "epoch": 7.03310197544047, + "grad_norm": 1.21875, + "learning_rate": 0.00016135477159403866, + "loss": 5.4148, + "mean_token_accuracy": 0.2001012980937958, + "num_tokens": 14424509.0, + "step": 6590 + }, + { + "entropy": 6.392051410675049, + "epoch": 7.0384410037373195, + "grad_norm": 1.1015625, + "learning_rate": 0.00016099010045166537, + "loss": 5.5376, + "mean_token_accuracy": 0.18047535121440889, + "num_tokens": 14435189.0, + "step": 6595 + }, + { + "entropy": 6.353335762023926, + "epoch": 7.04378003203417, + "grad_norm": 1.140625, + "learning_rate": 0.0001606258318127674, + "loss": 5.5095, + "mean_token_accuracy": 0.1861751824617386, + "num_tokens": 14445676.0, + "step": 6600 + }, + { + "entropy": 6.348418712615967, + "epoch": 7.049119060331019, + "grad_norm": 1.25, + "learning_rate": 0.00016026196696336786, + "loss": 5.4904, + "mean_token_accuracy": 0.1838784009218216, + "num_tokens": 14456848.0, + "step": 6605 + }, + { + "entropy": 6.287606906890869, + "epoch": 7.05445808862787, + "grad_norm": 1.0390625, + "learning_rate": 0.00015989850718806483, + "loss": 5.4332, + "mean_token_accuracy": 0.18585668951272966, + "num_tokens": 14468939.0, + "step": 6610 + }, + { + "entropy": 6.322085952758789, + "epoch": 7.059797116924719, + "grad_norm": 1.265625, + "learning_rate": 0.00015953545377002593, + "loss": 5.5085, + "mean_token_accuracy": 0.18388541787862778, + "num_tokens": 14480341.0, + "step": 6615 + }, + { + "entropy": 6.3109293460845945, + "epoch": 7.06513614522157, + "grad_norm": 1.078125, + "learning_rate": 0.00015917280799098414, + "loss": 5.4129, + "mean_token_accuracy": 0.19869672060012816, + "num_tokens": 14491517.0, + "step": 6620 + }, + { + "entropy": 6.279620122909546, + "epoch": 7.070475173518419, + "grad_norm": 1.0546875, + "learning_rate": 0.0001588105711312336, + "loss": 5.4366, + "mean_token_accuracy": 0.18694413006305693, + "num_tokens": 14504351.0, + "step": 6625 + }, + { + "entropy": 6.318189525604248, + "epoch": 7.07581420181527, + "grad_norm": 1.0625, + "learning_rate": 0.00015844874446962448, + "loss": 5.5338, + "mean_token_accuracy": 0.18216532617807388, + "num_tokens": 14516431.0, + "step": 6630 + }, + { + "entropy": 6.295264530181885, + "epoch": 7.081153230112119, + "grad_norm": 1.09375, + "learning_rate": 0.000158087329283559, + "loss": 5.3816, + "mean_token_accuracy": 0.19511567950248718, + "num_tokens": 14527248.0, + "step": 6635 + }, + { + "entropy": 6.3042511463165285, + "epoch": 7.08649225840897, + "grad_norm": 1.25, + "learning_rate": 0.00015772632684898653, + "loss": 5.4665, + "mean_token_accuracy": 0.18800214529037476, + "num_tokens": 14538380.0, + "step": 6640 + }, + { + "entropy": 6.314582014083863, + "epoch": 7.09183128670582, + "grad_norm": 1.171875, + "learning_rate": 0.00015736573844039953, + "loss": 5.4482, + "mean_token_accuracy": 0.18293119072914124, + "num_tokens": 14549710.0, + "step": 6645 + }, + { + "entropy": 6.282787704467774, + "epoch": 7.0971703150026695, + "grad_norm": 1.171875, + "learning_rate": 0.00015700556533082826, + "loss": 5.4284, + "mean_token_accuracy": 0.1919356808066368, + "num_tokens": 14560623.0, + "step": 6650 + }, + { + "entropy": 6.293274068832398, + "epoch": 7.10250934329952, + "grad_norm": 1.140625, + "learning_rate": 0.00015664580879183737, + "loss": 5.5054, + "mean_token_accuracy": 0.1837783768773079, + "num_tokens": 14570816.0, + "step": 6655 + }, + { + "entropy": 6.316432905197144, + "epoch": 7.107848371596369, + "grad_norm": 1.1953125, + "learning_rate": 0.00015628647009352037, + "loss": 5.4329, + "mean_token_accuracy": 0.18765368163585663, + "num_tokens": 14582014.0, + "step": 6660 + }, + { + "entropy": 6.275792598724365, + "epoch": 7.11318739989322, + "grad_norm": 1.234375, + "learning_rate": 0.00015592755050449603, + "loss": 5.3662, + "mean_token_accuracy": 0.19992139488458632, + "num_tokens": 14592100.0, + "step": 6665 + }, + { + "entropy": 6.173001956939697, + "epoch": 7.118526428190069, + "grad_norm": 1.0859375, + "learning_rate": 0.00015556905129190309, + "loss": 5.3337, + "mean_token_accuracy": 0.20151432305574418, + "num_tokens": 14603894.0, + "step": 6670 + }, + { + "entropy": 6.229399871826172, + "epoch": 7.12386545648692, + "grad_norm": 1.0703125, + "learning_rate": 0.00015521097372139654, + "loss": 5.3648, + "mean_token_accuracy": 0.19738561660051346, + "num_tokens": 14614697.0, + "step": 6675 + }, + { + "entropy": 6.316095399856567, + "epoch": 7.129204484783769, + "grad_norm": 1.25, + "learning_rate": 0.00015485331905714257, + "loss": 5.3925, + "mean_token_accuracy": 0.19631152153015136, + "num_tokens": 14624302.0, + "step": 6680 + }, + { + "entropy": 6.291509103775025, + "epoch": 7.13454351308062, + "grad_norm": 1.28125, + "learning_rate": 0.00015449608856181422, + "loss": 5.4087, + "mean_token_accuracy": 0.19371372908353807, + "num_tokens": 14635081.0, + "step": 6685 + }, + { + "entropy": 6.264547395706177, + "epoch": 7.139882541377469, + "grad_norm": 1.125, + "learning_rate": 0.00015413928349658745, + "loss": 5.3872, + "mean_token_accuracy": 0.2043850302696228, + "num_tokens": 14645817.0, + "step": 6690 + }, + { + "entropy": 6.287539434432984, + "epoch": 7.1452215696743195, + "grad_norm": 1.203125, + "learning_rate": 0.0001537829051211358, + "loss": 5.4525, + "mean_token_accuracy": 0.1920837566256523, + "num_tokens": 14656442.0, + "step": 6695 + }, + { + "entropy": 6.278778505325318, + "epoch": 7.150560597971169, + "grad_norm": 1.1796875, + "learning_rate": 0.00015342695469362682, + "loss": 5.3925, + "mean_token_accuracy": 0.19858739972114564, + "num_tokens": 14666974.0, + "step": 6700 + }, + { + "entropy": 6.348932266235352, + "epoch": 7.1558996262680195, + "grad_norm": 1.1015625, + "learning_rate": 0.00015307143347071688, + "loss": 5.5826, + "mean_token_accuracy": 0.18329962342977524, + "num_tokens": 14677952.0, + "step": 6705 + }, + { + "entropy": 6.270998954772949, + "epoch": 7.161238654564869, + "grad_norm": 1.2265625, + "learning_rate": 0.0001527163427075474, + "loss": 5.4297, + "mean_token_accuracy": 0.19348912090063095, + "num_tokens": 14688858.0, + "step": 6710 + }, + { + "entropy": 6.274411296844482, + "epoch": 7.166577682861719, + "grad_norm": 1.1640625, + "learning_rate": 0.00015236168365773985, + "loss": 5.4505, + "mean_token_accuracy": 0.18570196628570557, + "num_tokens": 14699992.0, + "step": 6715 + }, + { + "entropy": 6.332328271865845, + "epoch": 7.171916711158569, + "grad_norm": 1.2734375, + "learning_rate": 0.00015200745757339149, + "loss": 5.4072, + "mean_token_accuracy": 0.19031400680541993, + "num_tokens": 14710720.0, + "step": 6720 + }, + { + "entropy": 6.32621431350708, + "epoch": 7.177255739455419, + "grad_norm": 1.2109375, + "learning_rate": 0.00015165366570507138, + "loss": 5.4728, + "mean_token_accuracy": 0.18544712662696838, + "num_tokens": 14721101.0, + "step": 6725 + }, + { + "entropy": 6.3247661113739015, + "epoch": 7.182594767752269, + "grad_norm": 1.203125, + "learning_rate": 0.00015130030930181527, + "loss": 5.4501, + "mean_token_accuracy": 0.19216947257518768, + "num_tokens": 14731428.0, + "step": 6730 + }, + { + "entropy": 6.322046327590942, + "epoch": 7.187933796049119, + "grad_norm": 1.09375, + "learning_rate": 0.0001509473896111218, + "loss": 5.4599, + "mean_token_accuracy": 0.18756082206964492, + "num_tokens": 14743419.0, + "step": 6735 + }, + { + "entropy": 6.281675624847412, + "epoch": 7.193272824345969, + "grad_norm": 1.0390625, + "learning_rate": 0.00015059490787894768, + "loss": 5.4847, + "mean_token_accuracy": 0.18561287969350815, + "num_tokens": 14756162.0, + "step": 6740 + }, + { + "entropy": 6.386045646667481, + "epoch": 7.198611852642819, + "grad_norm": 1.25, + "learning_rate": 0.0001502428653497034, + "loss": 5.5361, + "mean_token_accuracy": 0.18351231813430785, + "num_tokens": 14767264.0, + "step": 6745 + }, + { + "entropy": 6.404717302322387, + "epoch": 7.203950880939669, + "grad_norm": 1.375, + "learning_rate": 0.0001498912632662489, + "loss": 5.4631, + "mean_token_accuracy": 0.18551670759916306, + "num_tokens": 14778344.0, + "step": 6750 + }, + { + "entropy": 6.340229177474976, + "epoch": 7.209289909236519, + "grad_norm": 1.15625, + "learning_rate": 0.00014954010286988935, + "loss": 5.5307, + "mean_token_accuracy": 0.18180549144744873, + "num_tokens": 14790518.0, + "step": 6755 + }, + { + "entropy": 6.292685031890869, + "epoch": 7.2146289375333685, + "grad_norm": 1.3359375, + "learning_rate": 0.00014918938540037018, + "loss": 5.4807, + "mean_token_accuracy": 0.18915681540966034, + "num_tokens": 14801792.0, + "step": 6760 + }, + { + "entropy": 6.231640481948853, + "epoch": 7.219967965830219, + "grad_norm": 1.328125, + "learning_rate": 0.00014883911209587366, + "loss": 5.366, + "mean_token_accuracy": 0.20036828219890596, + "num_tokens": 14812259.0, + "step": 6765 + }, + { + "entropy": 6.258896732330323, + "epoch": 7.2253069941270684, + "grad_norm": 1.0859375, + "learning_rate": 0.0001484892841930134, + "loss": 5.4381, + "mean_token_accuracy": 0.19050138741731643, + "num_tokens": 14823858.0, + "step": 6770 + }, + { + "entropy": 6.2924394607543945, + "epoch": 7.230646022423919, + "grad_norm": 1.2265625, + "learning_rate": 0.000148139902926831, + "loss": 5.4068, + "mean_token_accuracy": 0.19775196760892869, + "num_tokens": 14834069.0, + "step": 6775 + }, + { + "entropy": 6.317218446731568, + "epoch": 7.235985050720769, + "grad_norm": 1.1953125, + "learning_rate": 0.00014779096953079096, + "loss": 5.4495, + "mean_token_accuracy": 0.19177347272634507, + "num_tokens": 14844998.0, + "step": 6780 + }, + { + "entropy": 6.294413757324219, + "epoch": 7.241324079017619, + "grad_norm": 1.078125, + "learning_rate": 0.00014744248523677658, + "loss": 5.5113, + "mean_token_accuracy": 0.18353998363018037, + "num_tokens": 14855997.0, + "step": 6785 + }, + { + "entropy": 6.298984670639038, + "epoch": 7.246663107314469, + "grad_norm": 1.2578125, + "learning_rate": 0.00014709445127508594, + "loss": 5.4684, + "mean_token_accuracy": 0.1885671928524971, + "num_tokens": 14866813.0, + "step": 6790 + }, + { + "entropy": 6.257570743560791, + "epoch": 7.252002135611319, + "grad_norm": 1.1875, + "learning_rate": 0.00014674686887442695, + "loss": 5.4425, + "mean_token_accuracy": 0.18660287111997603, + "num_tokens": 14877681.0, + "step": 6795 + }, + { + "entropy": 6.268080139160157, + "epoch": 7.257341163908169, + "grad_norm": 1.3515625, + "learning_rate": 0.00014639973926191353, + "loss": 5.5047, + "mean_token_accuracy": 0.18286219090223313, + "num_tokens": 14888896.0, + "step": 6800 + }, + { + "entropy": 6.3286150932312015, + "epoch": 7.262680192205019, + "grad_norm": 1.21875, + "learning_rate": 0.00014605306366306093, + "loss": 5.4721, + "mean_token_accuracy": 0.18981748819351196, + "num_tokens": 14899230.0, + "step": 6805 + }, + { + "entropy": 6.259786605834961, + "epoch": 7.268019220501869, + "grad_norm": 1.1796875, + "learning_rate": 0.00014570684330178152, + "loss": 5.4336, + "mean_token_accuracy": 0.1927536189556122, + "num_tokens": 14910726.0, + "step": 6810 + }, + { + "entropy": 6.311066293716431, + "epoch": 7.2733582487987185, + "grad_norm": 1.125, + "learning_rate": 0.00014536107940038063, + "loss": 5.4831, + "mean_token_accuracy": 0.18997626900672912, + "num_tokens": 14922464.0, + "step": 6815 + }, + { + "entropy": 6.3254467964172365, + "epoch": 7.278697277095569, + "grad_norm": 1.078125, + "learning_rate": 0.00014501577317955195, + "loss": 5.5114, + "mean_token_accuracy": 0.18482305705547333, + "num_tokens": 14932719.0, + "step": 6820 + }, + { + "entropy": 6.237675046920776, + "epoch": 7.284036305392418, + "grad_norm": 1.1640625, + "learning_rate": 0.00014467092585837348, + "loss": 5.3684, + "mean_token_accuracy": 0.1937697485089302, + "num_tokens": 14943497.0, + "step": 6825 + }, + { + "entropy": 6.2961009502410885, + "epoch": 7.289375333689269, + "grad_norm": 1.2734375, + "learning_rate": 0.000144326538654303, + "loss": 5.4553, + "mean_token_accuracy": 0.19217261373996736, + "num_tokens": 14953887.0, + "step": 6830 + }, + { + "entropy": 6.266338968276978, + "epoch": 7.294714361986118, + "grad_norm": 1.2734375, + "learning_rate": 0.00014398261278317405, + "loss": 5.4194, + "mean_token_accuracy": 0.1873815566301346, + "num_tokens": 14965193.0, + "step": 6835 + }, + { + "entropy": 6.252061939239502, + "epoch": 7.300053390282969, + "grad_norm": 1.1640625, + "learning_rate": 0.00014363914945919126, + "loss": 5.4351, + "mean_token_accuracy": 0.19088050872087478, + "num_tokens": 14976266.0, + "step": 6840 + }, + { + "entropy": 6.311152935028076, + "epoch": 7.305392418579818, + "grad_norm": 1.25, + "learning_rate": 0.0001432961498949263, + "loss": 5.4244, + "mean_token_accuracy": 0.19315261840820314, + "num_tokens": 14987993.0, + "step": 6845 + }, + { + "entropy": 6.3497191905975345, + "epoch": 7.310731446876669, + "grad_norm": 1.125, + "learning_rate": 0.0001429536153013137, + "loss": 5.4808, + "mean_token_accuracy": 0.18216035068035125, + "num_tokens": 14998445.0, + "step": 6850 + }, + { + "entropy": 6.271890926361084, + "epoch": 7.316070475173518, + "grad_norm": 1.3203125, + "learning_rate": 0.00014261154688764645, + "loss": 5.4611, + "mean_token_accuracy": 0.188706374168396, + "num_tokens": 15008788.0, + "step": 6855 + }, + { + "entropy": 6.2674929141998295, + "epoch": 7.321409503470369, + "grad_norm": 1.1484375, + "learning_rate": 0.00014226994586157148, + "loss": 5.4978, + "mean_token_accuracy": 0.184069262444973, + "num_tokens": 15020167.0, + "step": 6860 + }, + { + "entropy": 6.334926986694336, + "epoch": 7.326748531767218, + "grad_norm": 1.21875, + "learning_rate": 0.00014192881342908604, + "loss": 5.4803, + "mean_token_accuracy": 0.18917828649282456, + "num_tokens": 15031082.0, + "step": 6865 + }, + { + "entropy": 6.286368560791016, + "epoch": 7.3320875600640685, + "grad_norm": 1.0859375, + "learning_rate": 0.00014158815079453268, + "loss": 5.4412, + "mean_token_accuracy": 0.19314158707857132, + "num_tokens": 15041728.0, + "step": 6870 + }, + { + "entropy": 6.300330734252929, + "epoch": 7.337426588360918, + "grad_norm": 1.125, + "learning_rate": 0.00014124795916059548, + "loss": 5.4293, + "mean_token_accuracy": 0.19236666411161424, + "num_tokens": 15052131.0, + "step": 6875 + }, + { + "entropy": 6.248535871505737, + "epoch": 7.342765616657768, + "grad_norm": 1.34375, + "learning_rate": 0.00014090823972829586, + "loss": 5.3861, + "mean_token_accuracy": 0.19000423103570938, + "num_tokens": 15063377.0, + "step": 6880 + }, + { + "entropy": 6.272410345077515, + "epoch": 7.348104644954618, + "grad_norm": 1.125, + "learning_rate": 0.00014056899369698785, + "loss": 5.387, + "mean_token_accuracy": 0.19852375388145446, + "num_tokens": 15073808.0, + "step": 6885 + }, + { + "entropy": 6.3073197364807125, + "epoch": 7.353443673251468, + "grad_norm": 1.2265625, + "learning_rate": 0.0001402302222643545, + "loss": 5.4592, + "mean_token_accuracy": 0.1940150499343872, + "num_tokens": 15084409.0, + "step": 6890 + }, + { + "entropy": 6.310897445678711, + "epoch": 7.358782701548318, + "grad_norm": 1.359375, + "learning_rate": 0.00013989192662640306, + "loss": 5.4773, + "mean_token_accuracy": 0.18742646425962448, + "num_tokens": 15094861.0, + "step": 6895 + }, + { + "entropy": 6.303181982040405, + "epoch": 7.364121729845168, + "grad_norm": 1.125, + "learning_rate": 0.0001395541079774612, + "loss": 5.4783, + "mean_token_accuracy": 0.18808880746364592, + "num_tokens": 15104939.0, + "step": 6900 + }, + { + "entropy": 6.226565361022949, + "epoch": 7.369460758142019, + "grad_norm": 1.140625, + "learning_rate": 0.00013921676751017255, + "loss": 5.365, + "mean_token_accuracy": 0.19940806925296783, + "num_tokens": 15115243.0, + "step": 6905 + }, + { + "entropy": 6.267017602920532, + "epoch": 7.374799786438868, + "grad_norm": 1.171875, + "learning_rate": 0.00013887990641549245, + "loss": 5.4636, + "mean_token_accuracy": 0.18399228155612946, + "num_tokens": 15127363.0, + "step": 6910 + }, + { + "entropy": 6.279464530944824, + "epoch": 7.380138814735718, + "grad_norm": 1.2109375, + "learning_rate": 0.00013854352588268408, + "loss": 5.3497, + "mean_token_accuracy": 0.19327647387981414, + "num_tokens": 15138128.0, + "step": 6915 + }, + { + "entropy": 6.303591060638428, + "epoch": 7.385477843032568, + "grad_norm": 1.2265625, + "learning_rate": 0.0001382076270993138, + "loss": 5.5058, + "mean_token_accuracy": 0.1778939798474312, + "num_tokens": 15148911.0, + "step": 6920 + }, + { + "entropy": 6.257078218460083, + "epoch": 7.3908168713294184, + "grad_norm": 1.140625, + "learning_rate": 0.0001378722112512474, + "loss": 5.4458, + "mean_token_accuracy": 0.18303258419036866, + "num_tokens": 15159564.0, + "step": 6925 + }, + { + "entropy": 6.266393041610717, + "epoch": 7.396155899626268, + "grad_norm": 1.1875, + "learning_rate": 0.0001375372795226455, + "loss": 5.4699, + "mean_token_accuracy": 0.1912732571363449, + "num_tokens": 15170536.0, + "step": 6930 + }, + { + "entropy": 6.302108573913574, + "epoch": 7.401494927923118, + "grad_norm": 1.21875, + "learning_rate": 0.00013720283309595987, + "loss": 5.463, + "mean_token_accuracy": 0.19185779988765717, + "num_tokens": 15181242.0, + "step": 6935 + }, + { + "entropy": 6.343116331100464, + "epoch": 7.406833956219968, + "grad_norm": 1.1171875, + "learning_rate": 0.00013686887315192842, + "loss": 5.4834, + "mean_token_accuracy": 0.18818345814943313, + "num_tokens": 15192873.0, + "step": 6940 + }, + { + "entropy": 6.30702543258667, + "epoch": 7.412172984516818, + "grad_norm": 1.1328125, + "learning_rate": 0.00013653540086957218, + "loss": 5.4501, + "mean_token_accuracy": 0.19412994533777236, + "num_tokens": 15204059.0, + "step": 6945 + }, + { + "entropy": 6.3180159568786625, + "epoch": 7.417512012813668, + "grad_norm": 1.1328125, + "learning_rate": 0.0001362024174261901, + "loss": 5.5063, + "mean_token_accuracy": 0.18488460928201675, + "num_tokens": 15214435.0, + "step": 6950 + }, + { + "entropy": 6.308865594863891, + "epoch": 7.422851041110518, + "grad_norm": 1.1484375, + "learning_rate": 0.0001358699239973556, + "loss": 5.4797, + "mean_token_accuracy": 0.1889624461531639, + "num_tokens": 15225514.0, + "step": 6955 + }, + { + "entropy": 6.288485956192017, + "epoch": 7.428190069407368, + "grad_norm": 1.2421875, + "learning_rate": 0.0001355379217569119, + "loss": 5.373, + "mean_token_accuracy": 0.19830633103847503, + "num_tokens": 15236329.0, + "step": 6960 + }, + { + "entropy": 6.25889835357666, + "epoch": 7.433529097704218, + "grad_norm": 1.265625, + "learning_rate": 0.00013520641187696834, + "loss": 5.3872, + "mean_token_accuracy": 0.19201608002185822, + "num_tokens": 15246239.0, + "step": 6965 + }, + { + "entropy": 6.273760986328125, + "epoch": 7.438868126001068, + "grad_norm": 1.109375, + "learning_rate": 0.00013487539552789585, + "loss": 5.4801, + "mean_token_accuracy": 0.19855868369340895, + "num_tokens": 15258107.0, + "step": 6970 + }, + { + "entropy": 6.29157280921936, + "epoch": 7.444207154297918, + "grad_norm": 1.1796875, + "learning_rate": 0.00013454487387832298, + "loss": 5.4118, + "mean_token_accuracy": 0.18662227392196656, + "num_tokens": 15269494.0, + "step": 6975 + }, + { + "entropy": 6.361139106750488, + "epoch": 7.4495461825947675, + "grad_norm": 1.25, + "learning_rate": 0.00013421484809513195, + "loss": 5.5343, + "mean_token_accuracy": 0.17982688099145888, + "num_tokens": 15280847.0, + "step": 6980 + }, + { + "entropy": 6.348047399520874, + "epoch": 7.454885210891618, + "grad_norm": 1.4140625, + "learning_rate": 0.00013388531934345417, + "loss": 5.4806, + "mean_token_accuracy": 0.18755375295877458, + "num_tokens": 15291602.0, + "step": 6985 + }, + { + "entropy": 6.304960441589356, + "epoch": 7.460224239188467, + "grad_norm": 1.203125, + "learning_rate": 0.00013355628878666654, + "loss": 5.4256, + "mean_token_accuracy": 0.1935595080256462, + "num_tokens": 15302346.0, + "step": 6990 + }, + { + "entropy": 6.280840587615967, + "epoch": 7.465563267485318, + "grad_norm": 1.2265625, + "learning_rate": 0.00013322775758638675, + "loss": 5.4369, + "mean_token_accuracy": 0.19602899849414826, + "num_tokens": 15313721.0, + "step": 6995 + }, + { + "entropy": 6.242779636383057, + "epoch": 7.470902295782167, + "grad_norm": 1.25, + "learning_rate": 0.0001328997269024701, + "loss": 5.4481, + "mean_token_accuracy": 0.1883457660675049, + "num_tokens": 15325088.0, + "step": 7000 + }, + { + "epoch": 7.470902295782167, + "eval_entropy": 6.113379762079808, + "eval_loss": 6.547084331512451, + "eval_mean_token_accuracy": 0.13488195277266687, + "eval_num_tokens": 15325088.0, + "eval_runtime": 1.8116, + "eval_samples_per_second": 1700.127, + "eval_steps_per_second": 212.516, + "step": 7000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3327667687434240.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-7000/training_args.bin b/checkpoint-7000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-7000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-7500/added_tokens.json b/checkpoint-7500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-7500/config.json b/checkpoint-7500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-7500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-7500/generation_config.json b/checkpoint-7500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-7500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7500/model.safetensors b/checkpoint-7500/model.safetensors new file mode 100644 index 0000000..24275f6 --- /dev/null +++ b/checkpoint-7500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a870ee0400277d35b2fc62375f2a2bff903e9907b1770def3bcece25857281ce +size 78179408 diff --git a/checkpoint-7500/rng_state.pth b/checkpoint-7500/rng_state.pth new file mode 100644 index 0000000..e37342f --- /dev/null +++ b/checkpoint-7500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:683d68051a1a90f356d37900c46d43fe0743faa6e61e2beae75c87aa77b2c789 +size 14645 diff --git a/checkpoint-7500/special_tokens_map.json b/checkpoint-7500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-7500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-7500/spiece.model b/checkpoint-7500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-7500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-7500/tokenizer_config.json b/checkpoint-7500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-7500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7500/trainer_state.json b/checkpoint-7500/trainer_state.json new file mode 100644 index 0000000..24e4596 --- /dev/null +++ b/checkpoint-7500/trainer_state.json @@ -0,0 +1,15199 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.00427122263748, + "eval_steps": 500, + "global_step": 7500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + }, + { + "entropy": 6.271717882156372, + "epoch": 6.942872397223705, + "grad_norm": 1.125, + "learning_rate": 0.00016761451107534249, + "loss": 5.5262, + "mean_token_accuracy": 0.19075504094362258, + "num_tokens": 14241584.0, + "step": 6505 + }, + { + "entropy": 6.278272104263306, + "epoch": 6.948211425520555, + "grad_norm": 1.1640625, + "learning_rate": 0.00016724319549474534, + "loss": 5.5543, + "mean_token_accuracy": 0.19189462959766387, + "num_tokens": 14252571.0, + "step": 6510 + }, + { + "entropy": 6.322755002975464, + "epoch": 6.953550453817405, + "grad_norm": 1.1796875, + "learning_rate": 0.00016687226034153624, + "loss": 5.6389, + "mean_token_accuracy": 0.17759112566709517, + "num_tokens": 14263470.0, + "step": 6515 + }, + { + "entropy": 6.299075269699097, + "epoch": 6.958889482114255, + "grad_norm": 1.1640625, + "learning_rate": 0.00016650170692527407, + "loss": 5.5459, + "mean_token_accuracy": 0.1799885153770447, + "num_tokens": 14274241.0, + "step": 6520 + }, + { + "entropy": 6.338451814651489, + "epoch": 6.964228510411105, + "grad_norm": 1.234375, + "learning_rate": 0.0001661315365541702, + "loss": 5.5802, + "mean_token_accuracy": 0.1735849931836128, + "num_tokens": 14284542.0, + "step": 6525 + }, + { + "entropy": 6.280116224288941, + "epoch": 6.969567538707955, + "grad_norm": 1.09375, + "learning_rate": 0.00016576175053508357, + "loss": 5.5888, + "mean_token_accuracy": 0.1822688788175583, + "num_tokens": 14295504.0, + "step": 6530 + }, + { + "entropy": 6.25789065361023, + "epoch": 6.974906567004805, + "grad_norm": 1.1796875, + "learning_rate": 0.00016539235017351634, + "loss": 5.571, + "mean_token_accuracy": 0.18007161021232604, + "num_tokens": 14306575.0, + "step": 6535 + }, + { + "entropy": 6.347195148468018, + "epoch": 6.980245595301655, + "grad_norm": 1.3125, + "learning_rate": 0.00016502333677360887, + "loss": 5.5981, + "mean_token_accuracy": 0.17393214553594588, + "num_tokens": 14316677.0, + "step": 6540 + }, + { + "entropy": 6.3871876239776615, + "epoch": 6.9855846235985055, + "grad_norm": 1.1640625, + "learning_rate": 0.00016465471163813576, + "loss": 5.5593, + "mean_token_accuracy": 0.18010709881782533, + "num_tokens": 14327027.0, + "step": 6545 + }, + { + "entropy": 6.316414451599121, + "epoch": 6.990923651895355, + "grad_norm": 1.0390625, + "learning_rate": 0.00016428647606850033, + "loss": 5.5865, + "mean_token_accuracy": 0.18866724222898484, + "num_tokens": 14338771.0, + "step": 6550 + }, + { + "entropy": 6.340197610855102, + "epoch": 6.9962626801922045, + "grad_norm": 1.25, + "learning_rate": 0.00016391863136473118, + "loss": 5.5756, + "mean_token_accuracy": 0.17773306369781494, + "num_tokens": 14350028.0, + "step": 6555 + }, + { + "entropy": 6.26469612121582, + "epoch": 7.00106780565937, + "grad_norm": 1.0703125, + "learning_rate": 0.0001635511788254765, + "loss": 5.5193, + "mean_token_accuracy": 0.18587267564402687, + "num_tokens": 14359688.0, + "step": 6560 + }, + { + "entropy": 6.269435834884644, + "epoch": 7.00640683395622, + "grad_norm": 1.21875, + "learning_rate": 0.00016318411974800025, + "loss": 5.4091, + "mean_token_accuracy": 0.18694305717945098, + "num_tokens": 14369892.0, + "step": 6565 + }, + { + "entropy": 6.2558362007141115, + "epoch": 7.01174586225307, + "grad_norm": 1.078125, + "learning_rate": 0.00016281745542817716, + "loss": 5.3584, + "mean_token_accuracy": 0.192064106464386, + "num_tokens": 14381383.0, + "step": 6570 + }, + { + "entropy": 6.297444868087768, + "epoch": 7.01708489054992, + "grad_norm": 1.1640625, + "learning_rate": 0.0001624511871604884, + "loss": 5.4562, + "mean_token_accuracy": 0.192567777633667, + "num_tokens": 14391590.0, + "step": 6575 + }, + { + "entropy": 6.312979078292846, + "epoch": 7.02242391884677, + "grad_norm": 1.1640625, + "learning_rate": 0.00016208531623801702, + "loss": 5.3939, + "mean_token_accuracy": 0.1895030602812767, + "num_tokens": 14402345.0, + "step": 6580 + }, + { + "entropy": 6.3703536033630375, + "epoch": 7.02776294714362, + "grad_norm": 1.2421875, + "learning_rate": 0.00016171984395244276, + "loss": 5.4881, + "mean_token_accuracy": 0.18503127098083497, + "num_tokens": 14412769.0, + "step": 6585 + }, + { + "entropy": 6.305860710144043, + "epoch": 7.03310197544047, + "grad_norm": 1.21875, + "learning_rate": 0.00016135477159403866, + "loss": 5.4148, + "mean_token_accuracy": 0.2001012980937958, + "num_tokens": 14424509.0, + "step": 6590 + }, + { + "entropy": 6.392051410675049, + "epoch": 7.0384410037373195, + "grad_norm": 1.1015625, + "learning_rate": 0.00016099010045166537, + "loss": 5.5376, + "mean_token_accuracy": 0.18047535121440889, + "num_tokens": 14435189.0, + "step": 6595 + }, + { + "entropy": 6.353335762023926, + "epoch": 7.04378003203417, + "grad_norm": 1.140625, + "learning_rate": 0.0001606258318127674, + "loss": 5.5095, + "mean_token_accuracy": 0.1861751824617386, + "num_tokens": 14445676.0, + "step": 6600 + }, + { + "entropy": 6.348418712615967, + "epoch": 7.049119060331019, + "grad_norm": 1.25, + "learning_rate": 0.00016026196696336786, + "loss": 5.4904, + "mean_token_accuracy": 0.1838784009218216, + "num_tokens": 14456848.0, + "step": 6605 + }, + { + "entropy": 6.287606906890869, + "epoch": 7.05445808862787, + "grad_norm": 1.0390625, + "learning_rate": 0.00015989850718806483, + "loss": 5.4332, + "mean_token_accuracy": 0.18585668951272966, + "num_tokens": 14468939.0, + "step": 6610 + }, + { + "entropy": 6.322085952758789, + "epoch": 7.059797116924719, + "grad_norm": 1.265625, + "learning_rate": 0.00015953545377002593, + "loss": 5.5085, + "mean_token_accuracy": 0.18388541787862778, + "num_tokens": 14480341.0, + "step": 6615 + }, + { + "entropy": 6.3109293460845945, + "epoch": 7.06513614522157, + "grad_norm": 1.078125, + "learning_rate": 0.00015917280799098414, + "loss": 5.4129, + "mean_token_accuracy": 0.19869672060012816, + "num_tokens": 14491517.0, + "step": 6620 + }, + { + "entropy": 6.279620122909546, + "epoch": 7.070475173518419, + "grad_norm": 1.0546875, + "learning_rate": 0.0001588105711312336, + "loss": 5.4366, + "mean_token_accuracy": 0.18694413006305693, + "num_tokens": 14504351.0, + "step": 6625 + }, + { + "entropy": 6.318189525604248, + "epoch": 7.07581420181527, + "grad_norm": 1.0625, + "learning_rate": 0.00015844874446962448, + "loss": 5.5338, + "mean_token_accuracy": 0.18216532617807388, + "num_tokens": 14516431.0, + "step": 6630 + }, + { + "entropy": 6.295264530181885, + "epoch": 7.081153230112119, + "grad_norm": 1.09375, + "learning_rate": 0.000158087329283559, + "loss": 5.3816, + "mean_token_accuracy": 0.19511567950248718, + "num_tokens": 14527248.0, + "step": 6635 + }, + { + "entropy": 6.3042511463165285, + "epoch": 7.08649225840897, + "grad_norm": 1.25, + "learning_rate": 0.00015772632684898653, + "loss": 5.4665, + "mean_token_accuracy": 0.18800214529037476, + "num_tokens": 14538380.0, + "step": 6640 + }, + { + "entropy": 6.314582014083863, + "epoch": 7.09183128670582, + "grad_norm": 1.171875, + "learning_rate": 0.00015736573844039953, + "loss": 5.4482, + "mean_token_accuracy": 0.18293119072914124, + "num_tokens": 14549710.0, + "step": 6645 + }, + { + "entropy": 6.282787704467774, + "epoch": 7.0971703150026695, + "grad_norm": 1.171875, + "learning_rate": 0.00015700556533082826, + "loss": 5.4284, + "mean_token_accuracy": 0.1919356808066368, + "num_tokens": 14560623.0, + "step": 6650 + }, + { + "entropy": 6.293274068832398, + "epoch": 7.10250934329952, + "grad_norm": 1.140625, + "learning_rate": 0.00015664580879183737, + "loss": 5.5054, + "mean_token_accuracy": 0.1837783768773079, + "num_tokens": 14570816.0, + "step": 6655 + }, + { + "entropy": 6.316432905197144, + "epoch": 7.107848371596369, + "grad_norm": 1.1953125, + "learning_rate": 0.00015628647009352037, + "loss": 5.4329, + "mean_token_accuracy": 0.18765368163585663, + "num_tokens": 14582014.0, + "step": 6660 + }, + { + "entropy": 6.275792598724365, + "epoch": 7.11318739989322, + "grad_norm": 1.234375, + "learning_rate": 0.00015592755050449603, + "loss": 5.3662, + "mean_token_accuracy": 0.19992139488458632, + "num_tokens": 14592100.0, + "step": 6665 + }, + { + "entropy": 6.173001956939697, + "epoch": 7.118526428190069, + "grad_norm": 1.0859375, + "learning_rate": 0.00015556905129190309, + "loss": 5.3337, + "mean_token_accuracy": 0.20151432305574418, + "num_tokens": 14603894.0, + "step": 6670 + }, + { + "entropy": 6.229399871826172, + "epoch": 7.12386545648692, + "grad_norm": 1.0703125, + "learning_rate": 0.00015521097372139654, + "loss": 5.3648, + "mean_token_accuracy": 0.19738561660051346, + "num_tokens": 14614697.0, + "step": 6675 + }, + { + "entropy": 6.316095399856567, + "epoch": 7.129204484783769, + "grad_norm": 1.25, + "learning_rate": 0.00015485331905714257, + "loss": 5.3925, + "mean_token_accuracy": 0.19631152153015136, + "num_tokens": 14624302.0, + "step": 6680 + }, + { + "entropy": 6.291509103775025, + "epoch": 7.13454351308062, + "grad_norm": 1.28125, + "learning_rate": 0.00015449608856181422, + "loss": 5.4087, + "mean_token_accuracy": 0.19371372908353807, + "num_tokens": 14635081.0, + "step": 6685 + }, + { + "entropy": 6.264547395706177, + "epoch": 7.139882541377469, + "grad_norm": 1.125, + "learning_rate": 0.00015413928349658745, + "loss": 5.3872, + "mean_token_accuracy": 0.2043850302696228, + "num_tokens": 14645817.0, + "step": 6690 + }, + { + "entropy": 6.287539434432984, + "epoch": 7.1452215696743195, + "grad_norm": 1.203125, + "learning_rate": 0.0001537829051211358, + "loss": 5.4525, + "mean_token_accuracy": 0.1920837566256523, + "num_tokens": 14656442.0, + "step": 6695 + }, + { + "entropy": 6.278778505325318, + "epoch": 7.150560597971169, + "grad_norm": 1.1796875, + "learning_rate": 0.00015342695469362682, + "loss": 5.3925, + "mean_token_accuracy": 0.19858739972114564, + "num_tokens": 14666974.0, + "step": 6700 + }, + { + "entropy": 6.348932266235352, + "epoch": 7.1558996262680195, + "grad_norm": 1.1015625, + "learning_rate": 0.00015307143347071688, + "loss": 5.5826, + "mean_token_accuracy": 0.18329962342977524, + "num_tokens": 14677952.0, + "step": 6705 + }, + { + "entropy": 6.270998954772949, + "epoch": 7.161238654564869, + "grad_norm": 1.2265625, + "learning_rate": 0.0001527163427075474, + "loss": 5.4297, + "mean_token_accuracy": 0.19348912090063095, + "num_tokens": 14688858.0, + "step": 6710 + }, + { + "entropy": 6.274411296844482, + "epoch": 7.166577682861719, + "grad_norm": 1.1640625, + "learning_rate": 0.00015236168365773985, + "loss": 5.4505, + "mean_token_accuracy": 0.18570196628570557, + "num_tokens": 14699992.0, + "step": 6715 + }, + { + "entropy": 6.332328271865845, + "epoch": 7.171916711158569, + "grad_norm": 1.2734375, + "learning_rate": 0.00015200745757339149, + "loss": 5.4072, + "mean_token_accuracy": 0.19031400680541993, + "num_tokens": 14710720.0, + "step": 6720 + }, + { + "entropy": 6.32621431350708, + "epoch": 7.177255739455419, + "grad_norm": 1.2109375, + "learning_rate": 0.00015165366570507138, + "loss": 5.4728, + "mean_token_accuracy": 0.18544712662696838, + "num_tokens": 14721101.0, + "step": 6725 + }, + { + "entropy": 6.3247661113739015, + "epoch": 7.182594767752269, + "grad_norm": 1.203125, + "learning_rate": 0.00015130030930181527, + "loss": 5.4501, + "mean_token_accuracy": 0.19216947257518768, + "num_tokens": 14731428.0, + "step": 6730 + }, + { + "entropy": 6.322046327590942, + "epoch": 7.187933796049119, + "grad_norm": 1.09375, + "learning_rate": 0.0001509473896111218, + "loss": 5.4599, + "mean_token_accuracy": 0.18756082206964492, + "num_tokens": 14743419.0, + "step": 6735 + }, + { + "entropy": 6.281675624847412, + "epoch": 7.193272824345969, + "grad_norm": 1.0390625, + "learning_rate": 0.00015059490787894768, + "loss": 5.4847, + "mean_token_accuracy": 0.18561287969350815, + "num_tokens": 14756162.0, + "step": 6740 + }, + { + "entropy": 6.386045646667481, + "epoch": 7.198611852642819, + "grad_norm": 1.25, + "learning_rate": 0.0001502428653497034, + "loss": 5.5361, + "mean_token_accuracy": 0.18351231813430785, + "num_tokens": 14767264.0, + "step": 6745 + }, + { + "entropy": 6.404717302322387, + "epoch": 7.203950880939669, + "grad_norm": 1.375, + "learning_rate": 0.0001498912632662489, + "loss": 5.4631, + "mean_token_accuracy": 0.18551670759916306, + "num_tokens": 14778344.0, + "step": 6750 + }, + { + "entropy": 6.340229177474976, + "epoch": 7.209289909236519, + "grad_norm": 1.15625, + "learning_rate": 0.00014954010286988935, + "loss": 5.5307, + "mean_token_accuracy": 0.18180549144744873, + "num_tokens": 14790518.0, + "step": 6755 + }, + { + "entropy": 6.292685031890869, + "epoch": 7.2146289375333685, + "grad_norm": 1.3359375, + "learning_rate": 0.00014918938540037018, + "loss": 5.4807, + "mean_token_accuracy": 0.18915681540966034, + "num_tokens": 14801792.0, + "step": 6760 + }, + { + "entropy": 6.231640481948853, + "epoch": 7.219967965830219, + "grad_norm": 1.328125, + "learning_rate": 0.00014883911209587366, + "loss": 5.366, + "mean_token_accuracy": 0.20036828219890596, + "num_tokens": 14812259.0, + "step": 6765 + }, + { + "entropy": 6.258896732330323, + "epoch": 7.2253069941270684, + "grad_norm": 1.0859375, + "learning_rate": 0.0001484892841930134, + "loss": 5.4381, + "mean_token_accuracy": 0.19050138741731643, + "num_tokens": 14823858.0, + "step": 6770 + }, + { + "entropy": 6.2924394607543945, + "epoch": 7.230646022423919, + "grad_norm": 1.2265625, + "learning_rate": 0.000148139902926831, + "loss": 5.4068, + "mean_token_accuracy": 0.19775196760892869, + "num_tokens": 14834069.0, + "step": 6775 + }, + { + "entropy": 6.317218446731568, + "epoch": 7.235985050720769, + "grad_norm": 1.1953125, + "learning_rate": 0.00014779096953079096, + "loss": 5.4495, + "mean_token_accuracy": 0.19177347272634507, + "num_tokens": 14844998.0, + "step": 6780 + }, + { + "entropy": 6.294413757324219, + "epoch": 7.241324079017619, + "grad_norm": 1.078125, + "learning_rate": 0.00014744248523677658, + "loss": 5.5113, + "mean_token_accuracy": 0.18353998363018037, + "num_tokens": 14855997.0, + "step": 6785 + }, + { + "entropy": 6.298984670639038, + "epoch": 7.246663107314469, + "grad_norm": 1.2578125, + "learning_rate": 0.00014709445127508594, + "loss": 5.4684, + "mean_token_accuracy": 0.1885671928524971, + "num_tokens": 14866813.0, + "step": 6790 + }, + { + "entropy": 6.257570743560791, + "epoch": 7.252002135611319, + "grad_norm": 1.1875, + "learning_rate": 0.00014674686887442695, + "loss": 5.4425, + "mean_token_accuracy": 0.18660287111997603, + "num_tokens": 14877681.0, + "step": 6795 + }, + { + "entropy": 6.268080139160157, + "epoch": 7.257341163908169, + "grad_norm": 1.3515625, + "learning_rate": 0.00014639973926191353, + "loss": 5.5047, + "mean_token_accuracy": 0.18286219090223313, + "num_tokens": 14888896.0, + "step": 6800 + }, + { + "entropy": 6.3286150932312015, + "epoch": 7.262680192205019, + "grad_norm": 1.21875, + "learning_rate": 0.00014605306366306093, + "loss": 5.4721, + "mean_token_accuracy": 0.18981748819351196, + "num_tokens": 14899230.0, + "step": 6805 + }, + { + "entropy": 6.259786605834961, + "epoch": 7.268019220501869, + "grad_norm": 1.1796875, + "learning_rate": 0.00014570684330178152, + "loss": 5.4336, + "mean_token_accuracy": 0.1927536189556122, + "num_tokens": 14910726.0, + "step": 6810 + }, + { + "entropy": 6.311066293716431, + "epoch": 7.2733582487987185, + "grad_norm": 1.125, + "learning_rate": 0.00014536107940038063, + "loss": 5.4831, + "mean_token_accuracy": 0.18997626900672912, + "num_tokens": 14922464.0, + "step": 6815 + }, + { + "entropy": 6.3254467964172365, + "epoch": 7.278697277095569, + "grad_norm": 1.078125, + "learning_rate": 0.00014501577317955195, + "loss": 5.5114, + "mean_token_accuracy": 0.18482305705547333, + "num_tokens": 14932719.0, + "step": 6820 + }, + { + "entropy": 6.237675046920776, + "epoch": 7.284036305392418, + "grad_norm": 1.1640625, + "learning_rate": 0.00014467092585837348, + "loss": 5.3684, + "mean_token_accuracy": 0.1937697485089302, + "num_tokens": 14943497.0, + "step": 6825 + }, + { + "entropy": 6.2961009502410885, + "epoch": 7.289375333689269, + "grad_norm": 1.2734375, + "learning_rate": 0.000144326538654303, + "loss": 5.4553, + "mean_token_accuracy": 0.19217261373996736, + "num_tokens": 14953887.0, + "step": 6830 + }, + { + "entropy": 6.266338968276978, + "epoch": 7.294714361986118, + "grad_norm": 1.2734375, + "learning_rate": 0.00014398261278317405, + "loss": 5.4194, + "mean_token_accuracy": 0.1873815566301346, + "num_tokens": 14965193.0, + "step": 6835 + }, + { + "entropy": 6.252061939239502, + "epoch": 7.300053390282969, + "grad_norm": 1.1640625, + "learning_rate": 0.00014363914945919126, + "loss": 5.4351, + "mean_token_accuracy": 0.19088050872087478, + "num_tokens": 14976266.0, + "step": 6840 + }, + { + "entropy": 6.311152935028076, + "epoch": 7.305392418579818, + "grad_norm": 1.25, + "learning_rate": 0.0001432961498949263, + "loss": 5.4244, + "mean_token_accuracy": 0.19315261840820314, + "num_tokens": 14987993.0, + "step": 6845 + }, + { + "entropy": 6.3497191905975345, + "epoch": 7.310731446876669, + "grad_norm": 1.125, + "learning_rate": 0.0001429536153013137, + "loss": 5.4808, + "mean_token_accuracy": 0.18216035068035125, + "num_tokens": 14998445.0, + "step": 6850 + }, + { + "entropy": 6.271890926361084, + "epoch": 7.316070475173518, + "grad_norm": 1.3203125, + "learning_rate": 0.00014261154688764645, + "loss": 5.4611, + "mean_token_accuracy": 0.188706374168396, + "num_tokens": 15008788.0, + "step": 6855 + }, + { + "entropy": 6.2674929141998295, + "epoch": 7.321409503470369, + "grad_norm": 1.1484375, + "learning_rate": 0.00014226994586157148, + "loss": 5.4978, + "mean_token_accuracy": 0.184069262444973, + "num_tokens": 15020167.0, + "step": 6860 + }, + { + "entropy": 6.334926986694336, + "epoch": 7.326748531767218, + "grad_norm": 1.21875, + "learning_rate": 0.00014192881342908604, + "loss": 5.4803, + "mean_token_accuracy": 0.18917828649282456, + "num_tokens": 15031082.0, + "step": 6865 + }, + { + "entropy": 6.286368560791016, + "epoch": 7.3320875600640685, + "grad_norm": 1.0859375, + "learning_rate": 0.00014158815079453268, + "loss": 5.4412, + "mean_token_accuracy": 0.19314158707857132, + "num_tokens": 15041728.0, + "step": 6870 + }, + { + "entropy": 6.300330734252929, + "epoch": 7.337426588360918, + "grad_norm": 1.125, + "learning_rate": 0.00014124795916059548, + "loss": 5.4293, + "mean_token_accuracy": 0.19236666411161424, + "num_tokens": 15052131.0, + "step": 6875 + }, + { + "entropy": 6.248535871505737, + "epoch": 7.342765616657768, + "grad_norm": 1.34375, + "learning_rate": 0.00014090823972829586, + "loss": 5.3861, + "mean_token_accuracy": 0.19000423103570938, + "num_tokens": 15063377.0, + "step": 6880 + }, + { + "entropy": 6.272410345077515, + "epoch": 7.348104644954618, + "grad_norm": 1.125, + "learning_rate": 0.00014056899369698785, + "loss": 5.387, + "mean_token_accuracy": 0.19852375388145446, + "num_tokens": 15073808.0, + "step": 6885 + }, + { + "entropy": 6.3073197364807125, + "epoch": 7.353443673251468, + "grad_norm": 1.2265625, + "learning_rate": 0.0001402302222643545, + "loss": 5.4592, + "mean_token_accuracy": 0.1940150499343872, + "num_tokens": 15084409.0, + "step": 6890 + }, + { + "entropy": 6.310897445678711, + "epoch": 7.358782701548318, + "grad_norm": 1.359375, + "learning_rate": 0.00013989192662640306, + "loss": 5.4773, + "mean_token_accuracy": 0.18742646425962448, + "num_tokens": 15094861.0, + "step": 6895 + }, + { + "entropy": 6.303181982040405, + "epoch": 7.364121729845168, + "grad_norm": 1.125, + "learning_rate": 0.0001395541079774612, + "loss": 5.4783, + "mean_token_accuracy": 0.18808880746364592, + "num_tokens": 15104939.0, + "step": 6900 + }, + { + "entropy": 6.226565361022949, + "epoch": 7.369460758142019, + "grad_norm": 1.140625, + "learning_rate": 0.00013921676751017255, + "loss": 5.365, + "mean_token_accuracy": 0.19940806925296783, + "num_tokens": 15115243.0, + "step": 6905 + }, + { + "entropy": 6.267017602920532, + "epoch": 7.374799786438868, + "grad_norm": 1.171875, + "learning_rate": 0.00013887990641549245, + "loss": 5.4636, + "mean_token_accuracy": 0.18399228155612946, + "num_tokens": 15127363.0, + "step": 6910 + }, + { + "entropy": 6.279464530944824, + "epoch": 7.380138814735718, + "grad_norm": 1.2109375, + "learning_rate": 0.00013854352588268408, + "loss": 5.3497, + "mean_token_accuracy": 0.19327647387981414, + "num_tokens": 15138128.0, + "step": 6915 + }, + { + "entropy": 6.303591060638428, + "epoch": 7.385477843032568, + "grad_norm": 1.2265625, + "learning_rate": 0.0001382076270993138, + "loss": 5.5058, + "mean_token_accuracy": 0.1778939798474312, + "num_tokens": 15148911.0, + "step": 6920 + }, + { + "entropy": 6.257078218460083, + "epoch": 7.3908168713294184, + "grad_norm": 1.140625, + "learning_rate": 0.0001378722112512474, + "loss": 5.4458, + "mean_token_accuracy": 0.18303258419036866, + "num_tokens": 15159564.0, + "step": 6925 + }, + { + "entropy": 6.266393041610717, + "epoch": 7.396155899626268, + "grad_norm": 1.1875, + "learning_rate": 0.0001375372795226455, + "loss": 5.4699, + "mean_token_accuracy": 0.1912732571363449, + "num_tokens": 15170536.0, + "step": 6930 + }, + { + "entropy": 6.302108573913574, + "epoch": 7.401494927923118, + "grad_norm": 1.21875, + "learning_rate": 0.00013720283309595987, + "loss": 5.463, + "mean_token_accuracy": 0.19185779988765717, + "num_tokens": 15181242.0, + "step": 6935 + }, + { + "entropy": 6.343116331100464, + "epoch": 7.406833956219968, + "grad_norm": 1.1171875, + "learning_rate": 0.00013686887315192842, + "loss": 5.4834, + "mean_token_accuracy": 0.18818345814943313, + "num_tokens": 15192873.0, + "step": 6940 + }, + { + "entropy": 6.30702543258667, + "epoch": 7.412172984516818, + "grad_norm": 1.1328125, + "learning_rate": 0.00013653540086957218, + "loss": 5.4501, + "mean_token_accuracy": 0.19412994533777236, + "num_tokens": 15204059.0, + "step": 6945 + }, + { + "entropy": 6.3180159568786625, + "epoch": 7.417512012813668, + "grad_norm": 1.1328125, + "learning_rate": 0.0001362024174261901, + "loss": 5.5063, + "mean_token_accuracy": 0.18488460928201675, + "num_tokens": 15214435.0, + "step": 6950 + }, + { + "entropy": 6.308865594863891, + "epoch": 7.422851041110518, + "grad_norm": 1.1484375, + "learning_rate": 0.0001358699239973556, + "loss": 5.4797, + "mean_token_accuracy": 0.1889624461531639, + "num_tokens": 15225514.0, + "step": 6955 + }, + { + "entropy": 6.288485956192017, + "epoch": 7.428190069407368, + "grad_norm": 1.2421875, + "learning_rate": 0.0001355379217569119, + "loss": 5.373, + "mean_token_accuracy": 0.19830633103847503, + "num_tokens": 15236329.0, + "step": 6960 + }, + { + "entropy": 6.25889835357666, + "epoch": 7.433529097704218, + "grad_norm": 1.265625, + "learning_rate": 0.00013520641187696834, + "loss": 5.3872, + "mean_token_accuracy": 0.19201608002185822, + "num_tokens": 15246239.0, + "step": 6965 + }, + { + "entropy": 6.273760986328125, + "epoch": 7.438868126001068, + "grad_norm": 1.109375, + "learning_rate": 0.00013487539552789585, + "loss": 5.4801, + "mean_token_accuracy": 0.19855868369340895, + "num_tokens": 15258107.0, + "step": 6970 + }, + { + "entropy": 6.29157280921936, + "epoch": 7.444207154297918, + "grad_norm": 1.1796875, + "learning_rate": 0.00013454487387832298, + "loss": 5.4118, + "mean_token_accuracy": 0.18662227392196656, + "num_tokens": 15269494.0, + "step": 6975 + }, + { + "entropy": 6.361139106750488, + "epoch": 7.4495461825947675, + "grad_norm": 1.25, + "learning_rate": 0.00013421484809513195, + "loss": 5.5343, + "mean_token_accuracy": 0.17982688099145888, + "num_tokens": 15280847.0, + "step": 6980 + }, + { + "entropy": 6.348047399520874, + "epoch": 7.454885210891618, + "grad_norm": 1.4140625, + "learning_rate": 0.00013388531934345417, + "loss": 5.4806, + "mean_token_accuracy": 0.18755375295877458, + "num_tokens": 15291602.0, + "step": 6985 + }, + { + "entropy": 6.304960441589356, + "epoch": 7.460224239188467, + "grad_norm": 1.203125, + "learning_rate": 0.00013355628878666654, + "loss": 5.4256, + "mean_token_accuracy": 0.1935595080256462, + "num_tokens": 15302346.0, + "step": 6990 + }, + { + "entropy": 6.280840587615967, + "epoch": 7.465563267485318, + "grad_norm": 1.2265625, + "learning_rate": 0.00013322775758638675, + "loss": 5.4369, + "mean_token_accuracy": 0.19602899849414826, + "num_tokens": 15313721.0, + "step": 6995 + }, + { + "entropy": 6.242779636383057, + "epoch": 7.470902295782167, + "grad_norm": 1.25, + "learning_rate": 0.0001328997269024701, + "loss": 5.4481, + "mean_token_accuracy": 0.1883457660675049, + "num_tokens": 15325088.0, + "step": 7000 + }, + { + "epoch": 7.470902295782167, + "eval_entropy": 6.113379762079808, + "eval_loss": 6.547084331512451, + "eval_mean_token_accuracy": 0.13488195277266687, + "eval_num_tokens": 15325088.0, + "eval_runtime": 1.8116, + "eval_samples_per_second": 1700.127, + "eval_steps_per_second": 212.516, + "step": 7000 + }, + { + "entropy": 6.287962102890015, + "epoch": 7.476241324079018, + "grad_norm": 1.1640625, + "learning_rate": 0.00013257219789300417, + "loss": 5.48, + "mean_token_accuracy": 0.19072551280260086, + "num_tokens": 15335527.0, + "step": 7005 + }, + { + "entropy": 6.238534307479858, + "epoch": 7.481580352375867, + "grad_norm": 1.1640625, + "learning_rate": 0.000132245171714306, + "loss": 5.3978, + "mean_token_accuracy": 0.19542142897844314, + "num_tokens": 15347574.0, + "step": 7010 + }, + { + "entropy": 6.273657131195068, + "epoch": 7.486919380672718, + "grad_norm": 1.1953125, + "learning_rate": 0.00013191864952091727, + "loss": 5.4766, + "mean_token_accuracy": 0.1871364861726761, + "num_tokens": 15358778.0, + "step": 7015 + }, + { + "entropy": 6.32083649635315, + "epoch": 7.492258408969567, + "grad_norm": 1.203125, + "learning_rate": 0.00013159263246560008, + "loss": 5.5285, + "mean_token_accuracy": 0.18418796807527543, + "num_tokens": 15369696.0, + "step": 7020 + }, + { + "entropy": 6.350054740905762, + "epoch": 7.497597437266418, + "grad_norm": 1.2109375, + "learning_rate": 0.00013126712169933362, + "loss": 5.4787, + "mean_token_accuracy": 0.19281676262617112, + "num_tokens": 15380848.0, + "step": 7025 + }, + { + "entropy": 6.338539266586304, + "epoch": 7.502936465563267, + "grad_norm": 1.2890625, + "learning_rate": 0.0001309421183713093, + "loss": 5.489, + "mean_token_accuracy": 0.18487109690904618, + "num_tokens": 15390866.0, + "step": 7030 + }, + { + "entropy": 6.299791240692139, + "epoch": 7.5082754938601175, + "grad_norm": 1.125, + "learning_rate": 0.00013061762362892742, + "loss": 5.5355, + "mean_token_accuracy": 0.18896956443786622, + "num_tokens": 15402827.0, + "step": 7035 + }, + { + "entropy": 6.263814258575439, + "epoch": 7.513614522156967, + "grad_norm": 1.171875, + "learning_rate": 0.00013029363861779224, + "loss": 5.3697, + "mean_token_accuracy": 0.19655501693487168, + "num_tokens": 15413590.0, + "step": 7040 + }, + { + "entropy": 6.30505633354187, + "epoch": 7.518953550453817, + "grad_norm": 1.2265625, + "learning_rate": 0.00012997016448170907, + "loss": 5.5179, + "mean_token_accuracy": 0.1944273218512535, + "num_tokens": 15424626.0, + "step": 7045 + }, + { + "entropy": 6.302839183807373, + "epoch": 7.524292578750668, + "grad_norm": 1.1796875, + "learning_rate": 0.000129647202362679, + "loss": 5.5083, + "mean_token_accuracy": 0.18509242087602615, + "num_tokens": 15435369.0, + "step": 7050 + }, + { + "entropy": 6.266674900054932, + "epoch": 7.529631607047517, + "grad_norm": 1.171875, + "learning_rate": 0.00012932475340089606, + "loss": 5.3647, + "mean_token_accuracy": 0.1904921844601631, + "num_tokens": 15446093.0, + "step": 7055 + }, + { + "entropy": 6.313183116912842, + "epoch": 7.534970635344367, + "grad_norm": 1.1015625, + "learning_rate": 0.00012900281873474214, + "loss": 5.3895, + "mean_token_accuracy": 0.19382342249155043, + "num_tokens": 15458535.0, + "step": 7060 + }, + { + "entropy": 6.348286533355713, + "epoch": 7.540309663641217, + "grad_norm": 1.1875, + "learning_rate": 0.00012868139950078376, + "loss": 5.4868, + "mean_token_accuracy": 0.1908288910984993, + "num_tokens": 15469288.0, + "step": 7065 + }, + { + "entropy": 6.249121379852295, + "epoch": 7.545648691938068, + "grad_norm": 1.171875, + "learning_rate": 0.0001283604968337676, + "loss": 5.4569, + "mean_token_accuracy": 0.18953004479408264, + "num_tokens": 15479643.0, + "step": 7070 + }, + { + "entropy": 6.264892864227295, + "epoch": 7.550987720234917, + "grad_norm": 1.0703125, + "learning_rate": 0.00012804011186661664, + "loss": 5.4565, + "mean_token_accuracy": 0.18462781757116317, + "num_tokens": 15491012.0, + "step": 7075 + }, + { + "entropy": 6.2518665313720705, + "epoch": 7.556326748531768, + "grad_norm": 1.1328125, + "learning_rate": 0.00012772024573042625, + "loss": 5.4577, + "mean_token_accuracy": 0.1880313828587532, + "num_tokens": 15501621.0, + "step": 7080 + }, + { + "entropy": 6.325869989395142, + "epoch": 7.561665776828617, + "grad_norm": 1.0859375, + "learning_rate": 0.00012740089955445993, + "loss": 5.4366, + "mean_token_accuracy": 0.19207198768854142, + "num_tokens": 15512463.0, + "step": 7085 + }, + { + "entropy": 6.317035770416259, + "epoch": 7.5670048051254675, + "grad_norm": 1.21875, + "learning_rate": 0.00012708207446614577, + "loss": 5.417, + "mean_token_accuracy": 0.19555209428071976, + "num_tokens": 15522141.0, + "step": 7090 + }, + { + "entropy": 6.288141679763794, + "epoch": 7.572343833422317, + "grad_norm": 1.265625, + "learning_rate": 0.00012676377159107194, + "loss": 5.5003, + "mean_token_accuracy": 0.18633041232824327, + "num_tokens": 15532332.0, + "step": 7095 + }, + { + "entropy": 6.313205575942993, + "epoch": 7.577682861719167, + "grad_norm": 1.171875, + "learning_rate": 0.00012644599205298323, + "loss": 5.5188, + "mean_token_accuracy": 0.19106141477823257, + "num_tokens": 15542157.0, + "step": 7100 + }, + { + "entropy": 6.186431550979615, + "epoch": 7.583021890016017, + "grad_norm": 1.140625, + "learning_rate": 0.00012612873697377645, + "loss": 5.3858, + "mean_token_accuracy": 0.19531311988830566, + "num_tokens": 15554015.0, + "step": 7105 + }, + { + "entropy": 6.259077882766723, + "epoch": 7.588360918312867, + "grad_norm": 1.2109375, + "learning_rate": 0.00012581200747349713, + "loss": 5.4177, + "mean_token_accuracy": 0.19319947063922882, + "num_tokens": 15565134.0, + "step": 7110 + }, + { + "entropy": 6.28724513053894, + "epoch": 7.593699946609717, + "grad_norm": 1.1640625, + "learning_rate": 0.0001254958046703354, + "loss": 5.4835, + "mean_token_accuracy": 0.18521590232849122, + "num_tokens": 15575570.0, + "step": 7115 + }, + { + "entropy": 6.304519891738892, + "epoch": 7.599038974906567, + "grad_norm": 1.3203125, + "learning_rate": 0.0001251801296806215, + "loss": 5.452, + "mean_token_accuracy": 0.1922187700867653, + "num_tokens": 15586350.0, + "step": 7120 + }, + { + "entropy": 6.311883592605591, + "epoch": 7.604378003203417, + "grad_norm": 1.1328125, + "learning_rate": 0.00012486498361882276, + "loss": 5.4631, + "mean_token_accuracy": 0.1864357113838196, + "num_tokens": 15597064.0, + "step": 7125 + }, + { + "entropy": 6.283797788619995, + "epoch": 7.609717031500267, + "grad_norm": 1.078125, + "learning_rate": 0.00012455036759753872, + "loss": 5.4201, + "mean_token_accuracy": 0.19565890729427338, + "num_tokens": 15608424.0, + "step": 7130 + }, + { + "entropy": 6.309296417236328, + "epoch": 7.615056059797117, + "grad_norm": 1.15625, + "learning_rate": 0.0001242362827274981, + "loss": 5.4694, + "mean_token_accuracy": 0.18753717243671417, + "num_tokens": 15619193.0, + "step": 7135 + }, + { + "entropy": 6.307245063781738, + "epoch": 7.620395088093967, + "grad_norm": 1.1328125, + "learning_rate": 0.00012392273011755387, + "loss": 5.4772, + "mean_token_accuracy": 0.18487688452005385, + "num_tokens": 15630391.0, + "step": 7140 + }, + { + "entropy": 6.3016722202301025, + "epoch": 7.6257341163908166, + "grad_norm": 1.21875, + "learning_rate": 0.00012360971087468044, + "loss": 5.4741, + "mean_token_accuracy": 0.18722636699676515, + "num_tokens": 15641098.0, + "step": 7145 + }, + { + "entropy": 6.349103164672852, + "epoch": 7.631073144687667, + "grad_norm": 1.1875, + "learning_rate": 0.00012329722610396885, + "loss": 5.5289, + "mean_token_accuracy": 0.17972193509340287, + "num_tokens": 15652677.0, + "step": 7150 + }, + { + "entropy": 6.281785202026367, + "epoch": 7.6364121729845165, + "grad_norm": 1.328125, + "learning_rate": 0.00012298527690862346, + "loss": 5.3607, + "mean_token_accuracy": 0.20771307796239852, + "num_tokens": 15664161.0, + "step": 7155 + }, + { + "entropy": 6.28417181968689, + "epoch": 7.641751201281367, + "grad_norm": 1.25, + "learning_rate": 0.00012267386438995762, + "loss": 5.4356, + "mean_token_accuracy": 0.1937227040529251, + "num_tokens": 15674663.0, + "step": 7160 + }, + { + "entropy": 6.308889245986938, + "epoch": 7.647090229578216, + "grad_norm": 1.2734375, + "learning_rate": 0.00012236298964739018, + "loss": 5.4676, + "mean_token_accuracy": 0.18741294145584106, + "num_tokens": 15684798.0, + "step": 7165 + }, + { + "entropy": 6.325117874145508, + "epoch": 7.652429257875067, + "grad_norm": 1.2890625, + "learning_rate": 0.00012205265377844127, + "loss": 5.5007, + "mean_token_accuracy": 0.1891069769859314, + "num_tokens": 15694796.0, + "step": 7170 + }, + { + "entropy": 6.306446743011475, + "epoch": 7.657768286171917, + "grad_norm": 1.203125, + "learning_rate": 0.0001217428578787285, + "loss": 5.5164, + "mean_token_accuracy": 0.1903630942106247, + "num_tokens": 15705325.0, + "step": 7175 + }, + { + "entropy": 6.331416177749634, + "epoch": 7.663107314468767, + "grad_norm": 1.2421875, + "learning_rate": 0.00012143360304196345, + "loss": 5.4456, + "mean_token_accuracy": 0.19512286633253098, + "num_tokens": 15716106.0, + "step": 7180 + }, + { + "entropy": 6.254957675933838, + "epoch": 7.668446342765616, + "grad_norm": 1.3203125, + "learning_rate": 0.00012112489035994715, + "loss": 5.4089, + "mean_token_accuracy": 0.1882454499602318, + "num_tokens": 15726896.0, + "step": 7185 + }, + { + "entropy": 6.280194568634033, + "epoch": 7.673785371062467, + "grad_norm": 1.15625, + "learning_rate": 0.00012081672092256693, + "loss": 5.4604, + "mean_token_accuracy": 0.1862812101840973, + "num_tokens": 15737492.0, + "step": 7190 + }, + { + "entropy": 6.3121009349823, + "epoch": 7.679124399359317, + "grad_norm": 1.171875, + "learning_rate": 0.00012050909581779194, + "loss": 5.4492, + "mean_token_accuracy": 0.18987040221691132, + "num_tokens": 15748941.0, + "step": 7195 + }, + { + "entropy": 6.290960836410522, + "epoch": 7.6844634276561665, + "grad_norm": 1.0625, + "learning_rate": 0.00012020201613166996, + "loss": 5.4389, + "mean_token_accuracy": 0.1893820658326149, + "num_tokens": 15760364.0, + "step": 7200 + }, + { + "entropy": 6.273015642166138, + "epoch": 7.689802455953017, + "grad_norm": 1.203125, + "learning_rate": 0.0001198954829483227, + "loss": 5.4886, + "mean_token_accuracy": 0.19192273169755936, + "num_tokens": 15770827.0, + "step": 7205 + }, + { + "entropy": 6.291214561462402, + "epoch": 7.695141484249866, + "grad_norm": 1.2265625, + "learning_rate": 0.00011958949734994294, + "loss": 5.4105, + "mean_token_accuracy": 0.19716935455799103, + "num_tokens": 15781685.0, + "step": 7210 + }, + { + "entropy": 6.3456682682037355, + "epoch": 7.700480512546717, + "grad_norm": 1.078125, + "learning_rate": 0.00011928406041679016, + "loss": 5.5194, + "mean_token_accuracy": 0.18710066080093385, + "num_tokens": 15793467.0, + "step": 7215 + }, + { + "entropy": 6.278537702560425, + "epoch": 7.705819540843566, + "grad_norm": 1.1640625, + "learning_rate": 0.00011897917322718658, + "loss": 5.4711, + "mean_token_accuracy": 0.18923619240522385, + "num_tokens": 15804030.0, + "step": 7220 + }, + { + "entropy": 6.326219749450684, + "epoch": 7.711158569140417, + "grad_norm": 1.171875, + "learning_rate": 0.00011867483685751393, + "loss": 5.4758, + "mean_token_accuracy": 0.19105219542980195, + "num_tokens": 15815834.0, + "step": 7225 + }, + { + "entropy": 6.304016733169556, + "epoch": 7.716497597437266, + "grad_norm": 1.0625, + "learning_rate": 0.00011837105238220905, + "loss": 5.4935, + "mean_token_accuracy": 0.18709275275468826, + "num_tokens": 15828605.0, + "step": 7230 + }, + { + "entropy": 6.295789098739624, + "epoch": 7.721836625734117, + "grad_norm": 1.25, + "learning_rate": 0.00011806782087376044, + "loss": 5.4023, + "mean_token_accuracy": 0.1915412038564682, + "num_tokens": 15838820.0, + "step": 7235 + }, + { + "entropy": 6.2806047916412355, + "epoch": 7.727175654030966, + "grad_norm": 1.21875, + "learning_rate": 0.00011776514340270435, + "loss": 5.471, + "mean_token_accuracy": 0.19484994560480118, + "num_tokens": 15850425.0, + "step": 7240 + }, + { + "entropy": 6.332225275039673, + "epoch": 7.732514682327817, + "grad_norm": 1.234375, + "learning_rate": 0.0001174630210376212, + "loss": 5.5353, + "mean_token_accuracy": 0.18361962884664534, + "num_tokens": 15861175.0, + "step": 7245 + }, + { + "entropy": 6.294142627716065, + "epoch": 7.737853710624666, + "grad_norm": 1.265625, + "learning_rate": 0.00011716145484513142, + "loss": 5.4624, + "mean_token_accuracy": 0.18699735403060913, + "num_tokens": 15871425.0, + "step": 7250 + }, + { + "entropy": 6.280290603637695, + "epoch": 7.7431927389215165, + "grad_norm": 1.3046875, + "learning_rate": 0.00011686044588989222, + "loss": 5.3874, + "mean_token_accuracy": 0.20123666226863862, + "num_tokens": 15881984.0, + "step": 7255 + }, + { + "entropy": 6.221923875808716, + "epoch": 7.748531767218366, + "grad_norm": 1.1015625, + "learning_rate": 0.00011655999523459311, + "loss": 5.4414, + "mean_token_accuracy": 0.1885385051369667, + "num_tokens": 15891940.0, + "step": 7260 + }, + { + "entropy": 6.3203362941741945, + "epoch": 7.753870795515216, + "grad_norm": 1.1953125, + "learning_rate": 0.00011626010393995301, + "loss": 5.5108, + "mean_token_accuracy": 0.1837375894188881, + "num_tokens": 15902899.0, + "step": 7265 + }, + { + "entropy": 6.2765544891357425, + "epoch": 7.759209823812066, + "grad_norm": 1.2578125, + "learning_rate": 0.00011596077306471577, + "loss": 5.4318, + "mean_token_accuracy": 0.193292735517025, + "num_tokens": 15913022.0, + "step": 7270 + }, + { + "entropy": 6.257391500473022, + "epoch": 7.764548852108916, + "grad_norm": 1.15625, + "learning_rate": 0.00011566200366564665, + "loss": 5.4287, + "mean_token_accuracy": 0.19449929893016815, + "num_tokens": 15924046.0, + "step": 7275 + }, + { + "entropy": 6.305574607849121, + "epoch": 7.769887880405766, + "grad_norm": 1.0390625, + "learning_rate": 0.00011536379679752901, + "loss": 5.5019, + "mean_token_accuracy": 0.18431514203548433, + "num_tokens": 15935993.0, + "step": 7280 + }, + { + "entropy": 6.27879376411438, + "epoch": 7.775226908702616, + "grad_norm": 1.234375, + "learning_rate": 0.00011506615351315989, + "loss": 5.52, + "mean_token_accuracy": 0.18554560840129852, + "num_tokens": 15946183.0, + "step": 7285 + }, + { + "entropy": 6.297955513000488, + "epoch": 7.780565936999466, + "grad_norm": 1.203125, + "learning_rate": 0.00011476907486334688, + "loss": 5.4348, + "mean_token_accuracy": 0.18957224488258362, + "num_tokens": 15956010.0, + "step": 7290 + }, + { + "entropy": 6.317027902603149, + "epoch": 7.785904965296316, + "grad_norm": 1.1796875, + "learning_rate": 0.00011447256189690404, + "loss": 5.4409, + "mean_token_accuracy": 0.1914788231253624, + "num_tokens": 15966747.0, + "step": 7295 + }, + { + "entropy": 6.245621633529663, + "epoch": 7.791243993593166, + "grad_norm": 1.21875, + "learning_rate": 0.00011417661566064834, + "loss": 5.4596, + "mean_token_accuracy": 0.1893852472305298, + "num_tokens": 15976551.0, + "step": 7300 + }, + { + "entropy": 6.285864305496216, + "epoch": 7.796583021890016, + "grad_norm": 1.2890625, + "learning_rate": 0.00011388123719939586, + "loss": 5.4493, + "mean_token_accuracy": 0.1863636240363121, + "num_tokens": 15987074.0, + "step": 7305 + }, + { + "entropy": 6.305343341827393, + "epoch": 7.801922050186866, + "grad_norm": 1.328125, + "learning_rate": 0.00011358642755595853, + "loss": 5.4769, + "mean_token_accuracy": 0.1860616162419319, + "num_tokens": 15997180.0, + "step": 7310 + }, + { + "entropy": 6.33305025100708, + "epoch": 7.807261078483716, + "grad_norm": 1.109375, + "learning_rate": 0.00011329218777113965, + "loss": 5.4329, + "mean_token_accuracy": 0.1920934110879898, + "num_tokens": 16008653.0, + "step": 7315 + }, + { + "entropy": 6.348929166793823, + "epoch": 7.812600106780566, + "grad_norm": 1.21875, + "learning_rate": 0.00011299851888373102, + "loss": 5.5976, + "mean_token_accuracy": 0.18123090267181396, + "num_tokens": 16020561.0, + "step": 7320 + }, + { + "entropy": 6.2745198726654055, + "epoch": 7.817939135077416, + "grad_norm": 1.21875, + "learning_rate": 0.00011270542193050888, + "loss": 5.4626, + "mean_token_accuracy": 0.19890002608299256, + "num_tokens": 16031456.0, + "step": 7325 + }, + { + "entropy": 6.341566324234009, + "epoch": 7.823278163374265, + "grad_norm": 1.1640625, + "learning_rate": 0.00011241289794623018, + "loss": 5.5555, + "mean_token_accuracy": 0.1821800947189331, + "num_tokens": 16042757.0, + "step": 7330 + }, + { + "entropy": 6.235800075531006, + "epoch": 7.828617191671116, + "grad_norm": 1.234375, + "learning_rate": 0.00011212094796362907, + "loss": 5.3304, + "mean_token_accuracy": 0.19140418320894242, + "num_tokens": 16053022.0, + "step": 7335 + }, + { + "entropy": 6.276721525192261, + "epoch": 7.833956219967966, + "grad_norm": 1.2109375, + "learning_rate": 0.00011182957301341321, + "loss": 5.4054, + "mean_token_accuracy": 0.18919897228479385, + "num_tokens": 16063959.0, + "step": 7340 + }, + { + "entropy": 6.3329778671264645, + "epoch": 7.839295248264816, + "grad_norm": 1.2265625, + "learning_rate": 0.00011153877412426034, + "loss": 5.4952, + "mean_token_accuracy": 0.18930234760046005, + "num_tokens": 16074402.0, + "step": 7345 + }, + { + "entropy": 6.211783933639526, + "epoch": 7.844634276561666, + "grad_norm": 1.234375, + "learning_rate": 0.0001112485523228142, + "loss": 5.371, + "mean_token_accuracy": 0.1979040816426277, + "num_tokens": 16085596.0, + "step": 7350 + }, + { + "entropy": 6.2267842292785645, + "epoch": 7.849973304858516, + "grad_norm": 1.3203125, + "learning_rate": 0.0001109589086336814, + "loss": 5.44, + "mean_token_accuracy": 0.19745024889707566, + "num_tokens": 16095625.0, + "step": 7355 + }, + { + "entropy": 6.285884141921997, + "epoch": 7.855312333155366, + "grad_norm": 1.2734375, + "learning_rate": 0.00011066984407942737, + "loss": 5.419, + "mean_token_accuracy": 0.18915786296129228, + "num_tokens": 16107750.0, + "step": 7360 + }, + { + "entropy": 6.269041252136231, + "epoch": 7.8606513614522155, + "grad_norm": 1.1875, + "learning_rate": 0.000110381359680573, + "loss": 5.4201, + "mean_token_accuracy": 0.19418328255414963, + "num_tokens": 16118652.0, + "step": 7365 + }, + { + "entropy": 6.27239875793457, + "epoch": 7.865990389749066, + "grad_norm": 1.2109375, + "learning_rate": 0.00011009345645559113, + "loss": 5.4206, + "mean_token_accuracy": 0.1961502403020859, + "num_tokens": 16129598.0, + "step": 7370 + }, + { + "entropy": 6.298056602478027, + "epoch": 7.8713294180459155, + "grad_norm": 1.2578125, + "learning_rate": 0.00010980613542090256, + "loss": 5.4407, + "mean_token_accuracy": 0.18880777657032013, + "num_tokens": 16140844.0, + "step": 7375 + }, + { + "entropy": 6.235966157913208, + "epoch": 7.876668446342766, + "grad_norm": 1.125, + "learning_rate": 0.00010951939759087298, + "loss": 5.4592, + "mean_token_accuracy": 0.1888560727238655, + "num_tokens": 16150922.0, + "step": 7380 + }, + { + "entropy": 6.307231903076172, + "epoch": 7.882007474639615, + "grad_norm": 1.328125, + "learning_rate": 0.00010923324397780887, + "loss": 5.4756, + "mean_token_accuracy": 0.19293616265058516, + "num_tokens": 16162440.0, + "step": 7385 + }, + { + "entropy": 6.284047031402588, + "epoch": 7.887346502936466, + "grad_norm": 1.1328125, + "learning_rate": 0.0001089476755919544, + "loss": 5.4599, + "mean_token_accuracy": 0.19319476932287216, + "num_tokens": 16173475.0, + "step": 7390 + }, + { + "entropy": 6.298360204696655, + "epoch": 7.892685531233315, + "grad_norm": 1.3359375, + "learning_rate": 0.00010866269344148746, + "loss": 5.5093, + "mean_token_accuracy": 0.18962480425834655, + "num_tokens": 16185668.0, + "step": 7395 + }, + { + "entropy": 6.305071783065796, + "epoch": 7.898024559530166, + "grad_norm": 1.2421875, + "learning_rate": 0.00010837829853251636, + "loss": 5.4894, + "mean_token_accuracy": 0.18193406611680984, + "num_tokens": 16198027.0, + "step": 7400 + }, + { + "entropy": 6.3255843162536625, + "epoch": 7.903363587827015, + "grad_norm": 1.234375, + "learning_rate": 0.00010809449186907611, + "loss": 5.5162, + "mean_token_accuracy": 0.18655869215726853, + "num_tokens": 16209601.0, + "step": 7405 + }, + { + "entropy": 6.297071886062622, + "epoch": 7.908702616123866, + "grad_norm": 1.125, + "learning_rate": 0.00010781127445312516, + "loss": 5.3818, + "mean_token_accuracy": 0.2019501507282257, + "num_tokens": 16221300.0, + "step": 7410 + }, + { + "entropy": 6.289458560943603, + "epoch": 7.914041644420715, + "grad_norm": 1.1171875, + "learning_rate": 0.00010752864728454143, + "loss": 5.4794, + "mean_token_accuracy": 0.18796940445899962, + "num_tokens": 16232923.0, + "step": 7415 + }, + { + "entropy": 6.289797735214234, + "epoch": 7.9193806727175655, + "grad_norm": 1.2421875, + "learning_rate": 0.00010724661136111918, + "loss": 5.4568, + "mean_token_accuracy": 0.18568747937679292, + "num_tokens": 16243373.0, + "step": 7420 + }, + { + "entropy": 6.255471897125244, + "epoch": 7.924719701014415, + "grad_norm": 1.25, + "learning_rate": 0.00010696516767856545, + "loss": 5.4383, + "mean_token_accuracy": 0.186435666680336, + "num_tokens": 16254716.0, + "step": 7425 + }, + { + "entropy": 6.313004779815674, + "epoch": 7.930058729311265, + "grad_norm": 1.0546875, + "learning_rate": 0.0001066843172304959, + "loss": 5.5306, + "mean_token_accuracy": 0.18111457228660582, + "num_tokens": 16266174.0, + "step": 7430 + }, + { + "entropy": 6.270875453948975, + "epoch": 7.935397757608115, + "grad_norm": 1.2578125, + "learning_rate": 0.00010640406100843242, + "loss": 5.3602, + "mean_token_accuracy": 0.19346348643302919, + "num_tokens": 16275927.0, + "step": 7435 + }, + { + "entropy": 6.3107868194580075, + "epoch": 7.940736785904965, + "grad_norm": 1.234375, + "learning_rate": 0.00010612440000179861, + "loss": 5.5281, + "mean_token_accuracy": 0.18930120766162872, + "num_tokens": 16287518.0, + "step": 7440 + }, + { + "entropy": 6.290305042266846, + "epoch": 7.946075814201816, + "grad_norm": 1.1875, + "learning_rate": 0.000105845335197917, + "loss": 5.4716, + "mean_token_accuracy": 0.18532466441392897, + "num_tokens": 16298201.0, + "step": 7445 + }, + { + "entropy": 6.315746784210205, + "epoch": 7.951414842498665, + "grad_norm": 1.1953125, + "learning_rate": 0.00010556686758200499, + "loss": 5.4838, + "mean_token_accuracy": 0.1856360211968422, + "num_tokens": 16309768.0, + "step": 7450 + }, + { + "entropy": 6.258326768875122, + "epoch": 7.956753870795515, + "grad_norm": 1.171875, + "learning_rate": 0.00010528899813717194, + "loss": 5.5407, + "mean_token_accuracy": 0.18397447764873504, + "num_tokens": 16320837.0, + "step": 7455 + }, + { + "entropy": 6.266445732116699, + "epoch": 7.962092899092365, + "grad_norm": 1.34375, + "learning_rate": 0.00010501172784441522, + "loss": 5.4617, + "mean_token_accuracy": 0.18468159288167954, + "num_tokens": 16332729.0, + "step": 7460 + }, + { + "entropy": 6.273439836502075, + "epoch": 7.967431927389216, + "grad_norm": 1.125, + "learning_rate": 0.00010473505768261691, + "loss": 5.4136, + "mean_token_accuracy": 0.18490265756845475, + "num_tokens": 16343444.0, + "step": 7465 + }, + { + "entropy": 6.235618734359742, + "epoch": 7.972770955686065, + "grad_norm": 1.25, + "learning_rate": 0.00010445898862854056, + "loss": 5.4047, + "mean_token_accuracy": 0.19600029289722443, + "num_tokens": 16354452.0, + "step": 7470 + }, + { + "entropy": 6.254809045791626, + "epoch": 7.9781099839829155, + "grad_norm": 1.2421875, + "learning_rate": 0.00010418352165682737, + "loss": 5.4354, + "mean_token_accuracy": 0.19964061975479125, + "num_tokens": 16365276.0, + "step": 7475 + }, + { + "entropy": 6.267963027954101, + "epoch": 7.983449012279765, + "grad_norm": 1.1015625, + "learning_rate": 0.00010390865773999305, + "loss": 5.4557, + "mean_token_accuracy": 0.19333289116621016, + "num_tokens": 16376176.0, + "step": 7480 + }, + { + "entropy": 6.220429754257202, + "epoch": 7.988788040576615, + "grad_norm": 1.1953125, + "learning_rate": 0.00010363439784842419, + "loss": 5.4219, + "mean_token_accuracy": 0.18904615938663483, + "num_tokens": 16386610.0, + "step": 7485 + }, + { + "entropy": 6.231282806396484, + "epoch": 7.994127068873465, + "grad_norm": 1.4140625, + "learning_rate": 0.00010336074295037506, + "loss": 5.376, + "mean_token_accuracy": 0.20314324349164964, + "num_tokens": 16396838.0, + "step": 7490 + }, + { + "entropy": 6.271087694168091, + "epoch": 7.999466097170315, + "grad_norm": 1.203125, + "learning_rate": 0.00010308769401196371, + "loss": 5.5287, + "mean_token_accuracy": 0.18455882072448732, + "num_tokens": 16407344.0, + "step": 7495 + }, + { + "entropy": 6.314283529917399, + "epoch": 8.00427122263748, + "grad_norm": 1.21875, + "learning_rate": 0.00010281525199716934, + "loss": 5.3818, + "mean_token_accuracy": 0.1875956224070655, + "num_tokens": 16416439.0, + "step": 7500 + }, + { + "epoch": 8.00427122263748, + "eval_entropy": 6.136151521856134, + "eval_loss": 6.5423078536987305, + "eval_mean_token_accuracy": 0.13510648057638824, + "eval_num_tokens": 16416439.0, + "eval_runtime": 1.8109, + "eval_samples_per_second": 1700.848, + "eval_steps_per_second": 212.606, + "step": 7500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3566864083322880.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-7500/training_args.bin b/checkpoint-7500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-7500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-8000/added_tokens.json b/checkpoint-8000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-8000/config.json b/checkpoint-8000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-8000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-8000/generation_config.json b/checkpoint-8000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-8000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8000/model.safetensors b/checkpoint-8000/model.safetensors new file mode 100644 index 0000000..fa7a590 --- /dev/null +++ b/checkpoint-8000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d65386ca92d431a940c13f6292f4ebfbf53d00b2bd0e0fc59163c837a51375eb +size 78179408 diff --git a/checkpoint-8000/rng_state.pth b/checkpoint-8000/rng_state.pth new file mode 100644 index 0000000..9b9eb70 --- /dev/null +++ b/checkpoint-8000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb82a38c471df46bcf152a073028baf347ddbf4c4655aed4a75883c534720a85 +size 14645 diff --git a/checkpoint-8000/special_tokens_map.json b/checkpoint-8000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-8000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-8000/spiece.model b/checkpoint-8000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-8000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-8000/tokenizer_config.json b/checkpoint-8000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-8000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8000/trainer_state.json b/checkpoint-8000/trainer_state.json new file mode 100644 index 0000000..fd149a4 --- /dev/null +++ b/checkpoint-8000/trainer_state.json @@ -0,0 +1,16210 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.538174052322477, + "eval_steps": 500, + "global_step": 8000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + }, + { + "entropy": 6.271717882156372, + "epoch": 6.942872397223705, + "grad_norm": 1.125, + "learning_rate": 0.00016761451107534249, + "loss": 5.5262, + "mean_token_accuracy": 0.19075504094362258, + "num_tokens": 14241584.0, + "step": 6505 + }, + { + "entropy": 6.278272104263306, + "epoch": 6.948211425520555, + "grad_norm": 1.1640625, + "learning_rate": 0.00016724319549474534, + "loss": 5.5543, + "mean_token_accuracy": 0.19189462959766387, + "num_tokens": 14252571.0, + "step": 6510 + }, + { + "entropy": 6.322755002975464, + "epoch": 6.953550453817405, + "grad_norm": 1.1796875, + "learning_rate": 0.00016687226034153624, + "loss": 5.6389, + "mean_token_accuracy": 0.17759112566709517, + "num_tokens": 14263470.0, + "step": 6515 + }, + { + "entropy": 6.299075269699097, + "epoch": 6.958889482114255, + "grad_norm": 1.1640625, + "learning_rate": 0.00016650170692527407, + "loss": 5.5459, + "mean_token_accuracy": 0.1799885153770447, + "num_tokens": 14274241.0, + "step": 6520 + }, + { + "entropy": 6.338451814651489, + "epoch": 6.964228510411105, + "grad_norm": 1.234375, + "learning_rate": 0.0001661315365541702, + "loss": 5.5802, + "mean_token_accuracy": 0.1735849931836128, + "num_tokens": 14284542.0, + "step": 6525 + }, + { + "entropy": 6.280116224288941, + "epoch": 6.969567538707955, + "grad_norm": 1.09375, + "learning_rate": 0.00016576175053508357, + "loss": 5.5888, + "mean_token_accuracy": 0.1822688788175583, + "num_tokens": 14295504.0, + "step": 6530 + }, + { + "entropy": 6.25789065361023, + "epoch": 6.974906567004805, + "grad_norm": 1.1796875, + "learning_rate": 0.00016539235017351634, + "loss": 5.571, + "mean_token_accuracy": 0.18007161021232604, + "num_tokens": 14306575.0, + "step": 6535 + }, + { + "entropy": 6.347195148468018, + "epoch": 6.980245595301655, + "grad_norm": 1.3125, + "learning_rate": 0.00016502333677360887, + "loss": 5.5981, + "mean_token_accuracy": 0.17393214553594588, + "num_tokens": 14316677.0, + "step": 6540 + }, + { + "entropy": 6.3871876239776615, + "epoch": 6.9855846235985055, + "grad_norm": 1.1640625, + "learning_rate": 0.00016465471163813576, + "loss": 5.5593, + "mean_token_accuracy": 0.18010709881782533, + "num_tokens": 14327027.0, + "step": 6545 + }, + { + "entropy": 6.316414451599121, + "epoch": 6.990923651895355, + "grad_norm": 1.0390625, + "learning_rate": 0.00016428647606850033, + "loss": 5.5865, + "mean_token_accuracy": 0.18866724222898484, + "num_tokens": 14338771.0, + "step": 6550 + }, + { + "entropy": 6.340197610855102, + "epoch": 6.9962626801922045, + "grad_norm": 1.25, + "learning_rate": 0.00016391863136473118, + "loss": 5.5756, + "mean_token_accuracy": 0.17773306369781494, + "num_tokens": 14350028.0, + "step": 6555 + }, + { + "entropy": 6.26469612121582, + "epoch": 7.00106780565937, + "grad_norm": 1.0703125, + "learning_rate": 0.0001635511788254765, + "loss": 5.5193, + "mean_token_accuracy": 0.18587267564402687, + "num_tokens": 14359688.0, + "step": 6560 + }, + { + "entropy": 6.269435834884644, + "epoch": 7.00640683395622, + "grad_norm": 1.21875, + "learning_rate": 0.00016318411974800025, + "loss": 5.4091, + "mean_token_accuracy": 0.18694305717945098, + "num_tokens": 14369892.0, + "step": 6565 + }, + { + "entropy": 6.2558362007141115, + "epoch": 7.01174586225307, + "grad_norm": 1.078125, + "learning_rate": 0.00016281745542817716, + "loss": 5.3584, + "mean_token_accuracy": 0.192064106464386, + "num_tokens": 14381383.0, + "step": 6570 + }, + { + "entropy": 6.297444868087768, + "epoch": 7.01708489054992, + "grad_norm": 1.1640625, + "learning_rate": 0.0001624511871604884, + "loss": 5.4562, + "mean_token_accuracy": 0.192567777633667, + "num_tokens": 14391590.0, + "step": 6575 + }, + { + "entropy": 6.312979078292846, + "epoch": 7.02242391884677, + "grad_norm": 1.1640625, + "learning_rate": 0.00016208531623801702, + "loss": 5.3939, + "mean_token_accuracy": 0.1895030602812767, + "num_tokens": 14402345.0, + "step": 6580 + }, + { + "entropy": 6.3703536033630375, + "epoch": 7.02776294714362, + "grad_norm": 1.2421875, + "learning_rate": 0.00016171984395244276, + "loss": 5.4881, + "mean_token_accuracy": 0.18503127098083497, + "num_tokens": 14412769.0, + "step": 6585 + }, + { + "entropy": 6.305860710144043, + "epoch": 7.03310197544047, + "grad_norm": 1.21875, + "learning_rate": 0.00016135477159403866, + "loss": 5.4148, + "mean_token_accuracy": 0.2001012980937958, + "num_tokens": 14424509.0, + "step": 6590 + }, + { + "entropy": 6.392051410675049, + "epoch": 7.0384410037373195, + "grad_norm": 1.1015625, + "learning_rate": 0.00016099010045166537, + "loss": 5.5376, + "mean_token_accuracy": 0.18047535121440889, + "num_tokens": 14435189.0, + "step": 6595 + }, + { + "entropy": 6.353335762023926, + "epoch": 7.04378003203417, + "grad_norm": 1.140625, + "learning_rate": 0.0001606258318127674, + "loss": 5.5095, + "mean_token_accuracy": 0.1861751824617386, + "num_tokens": 14445676.0, + "step": 6600 + }, + { + "entropy": 6.348418712615967, + "epoch": 7.049119060331019, + "grad_norm": 1.25, + "learning_rate": 0.00016026196696336786, + "loss": 5.4904, + "mean_token_accuracy": 0.1838784009218216, + "num_tokens": 14456848.0, + "step": 6605 + }, + { + "entropy": 6.287606906890869, + "epoch": 7.05445808862787, + "grad_norm": 1.0390625, + "learning_rate": 0.00015989850718806483, + "loss": 5.4332, + "mean_token_accuracy": 0.18585668951272966, + "num_tokens": 14468939.0, + "step": 6610 + }, + { + "entropy": 6.322085952758789, + "epoch": 7.059797116924719, + "grad_norm": 1.265625, + "learning_rate": 0.00015953545377002593, + "loss": 5.5085, + "mean_token_accuracy": 0.18388541787862778, + "num_tokens": 14480341.0, + "step": 6615 + }, + { + "entropy": 6.3109293460845945, + "epoch": 7.06513614522157, + "grad_norm": 1.078125, + "learning_rate": 0.00015917280799098414, + "loss": 5.4129, + "mean_token_accuracy": 0.19869672060012816, + "num_tokens": 14491517.0, + "step": 6620 + }, + { + "entropy": 6.279620122909546, + "epoch": 7.070475173518419, + "grad_norm": 1.0546875, + "learning_rate": 0.0001588105711312336, + "loss": 5.4366, + "mean_token_accuracy": 0.18694413006305693, + "num_tokens": 14504351.0, + "step": 6625 + }, + { + "entropy": 6.318189525604248, + "epoch": 7.07581420181527, + "grad_norm": 1.0625, + "learning_rate": 0.00015844874446962448, + "loss": 5.5338, + "mean_token_accuracy": 0.18216532617807388, + "num_tokens": 14516431.0, + "step": 6630 + }, + { + "entropy": 6.295264530181885, + "epoch": 7.081153230112119, + "grad_norm": 1.09375, + "learning_rate": 0.000158087329283559, + "loss": 5.3816, + "mean_token_accuracy": 0.19511567950248718, + "num_tokens": 14527248.0, + "step": 6635 + }, + { + "entropy": 6.3042511463165285, + "epoch": 7.08649225840897, + "grad_norm": 1.25, + "learning_rate": 0.00015772632684898653, + "loss": 5.4665, + "mean_token_accuracy": 0.18800214529037476, + "num_tokens": 14538380.0, + "step": 6640 + }, + { + "entropy": 6.314582014083863, + "epoch": 7.09183128670582, + "grad_norm": 1.171875, + "learning_rate": 0.00015736573844039953, + "loss": 5.4482, + "mean_token_accuracy": 0.18293119072914124, + "num_tokens": 14549710.0, + "step": 6645 + }, + { + "entropy": 6.282787704467774, + "epoch": 7.0971703150026695, + "grad_norm": 1.171875, + "learning_rate": 0.00015700556533082826, + "loss": 5.4284, + "mean_token_accuracy": 0.1919356808066368, + "num_tokens": 14560623.0, + "step": 6650 + }, + { + "entropy": 6.293274068832398, + "epoch": 7.10250934329952, + "grad_norm": 1.140625, + "learning_rate": 0.00015664580879183737, + "loss": 5.5054, + "mean_token_accuracy": 0.1837783768773079, + "num_tokens": 14570816.0, + "step": 6655 + }, + { + "entropy": 6.316432905197144, + "epoch": 7.107848371596369, + "grad_norm": 1.1953125, + "learning_rate": 0.00015628647009352037, + "loss": 5.4329, + "mean_token_accuracy": 0.18765368163585663, + "num_tokens": 14582014.0, + "step": 6660 + }, + { + "entropy": 6.275792598724365, + "epoch": 7.11318739989322, + "grad_norm": 1.234375, + "learning_rate": 0.00015592755050449603, + "loss": 5.3662, + "mean_token_accuracy": 0.19992139488458632, + "num_tokens": 14592100.0, + "step": 6665 + }, + { + "entropy": 6.173001956939697, + "epoch": 7.118526428190069, + "grad_norm": 1.0859375, + "learning_rate": 0.00015556905129190309, + "loss": 5.3337, + "mean_token_accuracy": 0.20151432305574418, + "num_tokens": 14603894.0, + "step": 6670 + }, + { + "entropy": 6.229399871826172, + "epoch": 7.12386545648692, + "grad_norm": 1.0703125, + "learning_rate": 0.00015521097372139654, + "loss": 5.3648, + "mean_token_accuracy": 0.19738561660051346, + "num_tokens": 14614697.0, + "step": 6675 + }, + { + "entropy": 6.316095399856567, + "epoch": 7.129204484783769, + "grad_norm": 1.25, + "learning_rate": 0.00015485331905714257, + "loss": 5.3925, + "mean_token_accuracy": 0.19631152153015136, + "num_tokens": 14624302.0, + "step": 6680 + }, + { + "entropy": 6.291509103775025, + "epoch": 7.13454351308062, + "grad_norm": 1.28125, + "learning_rate": 0.00015449608856181422, + "loss": 5.4087, + "mean_token_accuracy": 0.19371372908353807, + "num_tokens": 14635081.0, + "step": 6685 + }, + { + "entropy": 6.264547395706177, + "epoch": 7.139882541377469, + "grad_norm": 1.125, + "learning_rate": 0.00015413928349658745, + "loss": 5.3872, + "mean_token_accuracy": 0.2043850302696228, + "num_tokens": 14645817.0, + "step": 6690 + }, + { + "entropy": 6.287539434432984, + "epoch": 7.1452215696743195, + "grad_norm": 1.203125, + "learning_rate": 0.0001537829051211358, + "loss": 5.4525, + "mean_token_accuracy": 0.1920837566256523, + "num_tokens": 14656442.0, + "step": 6695 + }, + { + "entropy": 6.278778505325318, + "epoch": 7.150560597971169, + "grad_norm": 1.1796875, + "learning_rate": 0.00015342695469362682, + "loss": 5.3925, + "mean_token_accuracy": 0.19858739972114564, + "num_tokens": 14666974.0, + "step": 6700 + }, + { + "entropy": 6.348932266235352, + "epoch": 7.1558996262680195, + "grad_norm": 1.1015625, + "learning_rate": 0.00015307143347071688, + "loss": 5.5826, + "mean_token_accuracy": 0.18329962342977524, + "num_tokens": 14677952.0, + "step": 6705 + }, + { + "entropy": 6.270998954772949, + "epoch": 7.161238654564869, + "grad_norm": 1.2265625, + "learning_rate": 0.0001527163427075474, + "loss": 5.4297, + "mean_token_accuracy": 0.19348912090063095, + "num_tokens": 14688858.0, + "step": 6710 + }, + { + "entropy": 6.274411296844482, + "epoch": 7.166577682861719, + "grad_norm": 1.1640625, + "learning_rate": 0.00015236168365773985, + "loss": 5.4505, + "mean_token_accuracy": 0.18570196628570557, + "num_tokens": 14699992.0, + "step": 6715 + }, + { + "entropy": 6.332328271865845, + "epoch": 7.171916711158569, + "grad_norm": 1.2734375, + "learning_rate": 0.00015200745757339149, + "loss": 5.4072, + "mean_token_accuracy": 0.19031400680541993, + "num_tokens": 14710720.0, + "step": 6720 + }, + { + "entropy": 6.32621431350708, + "epoch": 7.177255739455419, + "grad_norm": 1.2109375, + "learning_rate": 0.00015165366570507138, + "loss": 5.4728, + "mean_token_accuracy": 0.18544712662696838, + "num_tokens": 14721101.0, + "step": 6725 + }, + { + "entropy": 6.3247661113739015, + "epoch": 7.182594767752269, + "grad_norm": 1.203125, + "learning_rate": 0.00015130030930181527, + "loss": 5.4501, + "mean_token_accuracy": 0.19216947257518768, + "num_tokens": 14731428.0, + "step": 6730 + }, + { + "entropy": 6.322046327590942, + "epoch": 7.187933796049119, + "grad_norm": 1.09375, + "learning_rate": 0.0001509473896111218, + "loss": 5.4599, + "mean_token_accuracy": 0.18756082206964492, + "num_tokens": 14743419.0, + "step": 6735 + }, + { + "entropy": 6.281675624847412, + "epoch": 7.193272824345969, + "grad_norm": 1.0390625, + "learning_rate": 0.00015059490787894768, + "loss": 5.4847, + "mean_token_accuracy": 0.18561287969350815, + "num_tokens": 14756162.0, + "step": 6740 + }, + { + "entropy": 6.386045646667481, + "epoch": 7.198611852642819, + "grad_norm": 1.25, + "learning_rate": 0.0001502428653497034, + "loss": 5.5361, + "mean_token_accuracy": 0.18351231813430785, + "num_tokens": 14767264.0, + "step": 6745 + }, + { + "entropy": 6.404717302322387, + "epoch": 7.203950880939669, + "grad_norm": 1.375, + "learning_rate": 0.0001498912632662489, + "loss": 5.4631, + "mean_token_accuracy": 0.18551670759916306, + "num_tokens": 14778344.0, + "step": 6750 + }, + { + "entropy": 6.340229177474976, + "epoch": 7.209289909236519, + "grad_norm": 1.15625, + "learning_rate": 0.00014954010286988935, + "loss": 5.5307, + "mean_token_accuracy": 0.18180549144744873, + "num_tokens": 14790518.0, + "step": 6755 + }, + { + "entropy": 6.292685031890869, + "epoch": 7.2146289375333685, + "grad_norm": 1.3359375, + "learning_rate": 0.00014918938540037018, + "loss": 5.4807, + "mean_token_accuracy": 0.18915681540966034, + "num_tokens": 14801792.0, + "step": 6760 + }, + { + "entropy": 6.231640481948853, + "epoch": 7.219967965830219, + "grad_norm": 1.328125, + "learning_rate": 0.00014883911209587366, + "loss": 5.366, + "mean_token_accuracy": 0.20036828219890596, + "num_tokens": 14812259.0, + "step": 6765 + }, + { + "entropy": 6.258896732330323, + "epoch": 7.2253069941270684, + "grad_norm": 1.0859375, + "learning_rate": 0.0001484892841930134, + "loss": 5.4381, + "mean_token_accuracy": 0.19050138741731643, + "num_tokens": 14823858.0, + "step": 6770 + }, + { + "entropy": 6.2924394607543945, + "epoch": 7.230646022423919, + "grad_norm": 1.2265625, + "learning_rate": 0.000148139902926831, + "loss": 5.4068, + "mean_token_accuracy": 0.19775196760892869, + "num_tokens": 14834069.0, + "step": 6775 + }, + { + "entropy": 6.317218446731568, + "epoch": 7.235985050720769, + "grad_norm": 1.1953125, + "learning_rate": 0.00014779096953079096, + "loss": 5.4495, + "mean_token_accuracy": 0.19177347272634507, + "num_tokens": 14844998.0, + "step": 6780 + }, + { + "entropy": 6.294413757324219, + "epoch": 7.241324079017619, + "grad_norm": 1.078125, + "learning_rate": 0.00014744248523677658, + "loss": 5.5113, + "mean_token_accuracy": 0.18353998363018037, + "num_tokens": 14855997.0, + "step": 6785 + }, + { + "entropy": 6.298984670639038, + "epoch": 7.246663107314469, + "grad_norm": 1.2578125, + "learning_rate": 0.00014709445127508594, + "loss": 5.4684, + "mean_token_accuracy": 0.1885671928524971, + "num_tokens": 14866813.0, + "step": 6790 + }, + { + "entropy": 6.257570743560791, + "epoch": 7.252002135611319, + "grad_norm": 1.1875, + "learning_rate": 0.00014674686887442695, + "loss": 5.4425, + "mean_token_accuracy": 0.18660287111997603, + "num_tokens": 14877681.0, + "step": 6795 + }, + { + "entropy": 6.268080139160157, + "epoch": 7.257341163908169, + "grad_norm": 1.3515625, + "learning_rate": 0.00014639973926191353, + "loss": 5.5047, + "mean_token_accuracy": 0.18286219090223313, + "num_tokens": 14888896.0, + "step": 6800 + }, + { + "entropy": 6.3286150932312015, + "epoch": 7.262680192205019, + "grad_norm": 1.21875, + "learning_rate": 0.00014605306366306093, + "loss": 5.4721, + "mean_token_accuracy": 0.18981748819351196, + "num_tokens": 14899230.0, + "step": 6805 + }, + { + "entropy": 6.259786605834961, + "epoch": 7.268019220501869, + "grad_norm": 1.1796875, + "learning_rate": 0.00014570684330178152, + "loss": 5.4336, + "mean_token_accuracy": 0.1927536189556122, + "num_tokens": 14910726.0, + "step": 6810 + }, + { + "entropy": 6.311066293716431, + "epoch": 7.2733582487987185, + "grad_norm": 1.125, + "learning_rate": 0.00014536107940038063, + "loss": 5.4831, + "mean_token_accuracy": 0.18997626900672912, + "num_tokens": 14922464.0, + "step": 6815 + }, + { + "entropy": 6.3254467964172365, + "epoch": 7.278697277095569, + "grad_norm": 1.078125, + "learning_rate": 0.00014501577317955195, + "loss": 5.5114, + "mean_token_accuracy": 0.18482305705547333, + "num_tokens": 14932719.0, + "step": 6820 + }, + { + "entropy": 6.237675046920776, + "epoch": 7.284036305392418, + "grad_norm": 1.1640625, + "learning_rate": 0.00014467092585837348, + "loss": 5.3684, + "mean_token_accuracy": 0.1937697485089302, + "num_tokens": 14943497.0, + "step": 6825 + }, + { + "entropy": 6.2961009502410885, + "epoch": 7.289375333689269, + "grad_norm": 1.2734375, + "learning_rate": 0.000144326538654303, + "loss": 5.4553, + "mean_token_accuracy": 0.19217261373996736, + "num_tokens": 14953887.0, + "step": 6830 + }, + { + "entropy": 6.266338968276978, + "epoch": 7.294714361986118, + "grad_norm": 1.2734375, + "learning_rate": 0.00014398261278317405, + "loss": 5.4194, + "mean_token_accuracy": 0.1873815566301346, + "num_tokens": 14965193.0, + "step": 6835 + }, + { + "entropy": 6.252061939239502, + "epoch": 7.300053390282969, + "grad_norm": 1.1640625, + "learning_rate": 0.00014363914945919126, + "loss": 5.4351, + "mean_token_accuracy": 0.19088050872087478, + "num_tokens": 14976266.0, + "step": 6840 + }, + { + "entropy": 6.311152935028076, + "epoch": 7.305392418579818, + "grad_norm": 1.25, + "learning_rate": 0.0001432961498949263, + "loss": 5.4244, + "mean_token_accuracy": 0.19315261840820314, + "num_tokens": 14987993.0, + "step": 6845 + }, + { + "entropy": 6.3497191905975345, + "epoch": 7.310731446876669, + "grad_norm": 1.125, + "learning_rate": 0.0001429536153013137, + "loss": 5.4808, + "mean_token_accuracy": 0.18216035068035125, + "num_tokens": 14998445.0, + "step": 6850 + }, + { + "entropy": 6.271890926361084, + "epoch": 7.316070475173518, + "grad_norm": 1.3203125, + "learning_rate": 0.00014261154688764645, + "loss": 5.4611, + "mean_token_accuracy": 0.188706374168396, + "num_tokens": 15008788.0, + "step": 6855 + }, + { + "entropy": 6.2674929141998295, + "epoch": 7.321409503470369, + "grad_norm": 1.1484375, + "learning_rate": 0.00014226994586157148, + "loss": 5.4978, + "mean_token_accuracy": 0.184069262444973, + "num_tokens": 15020167.0, + "step": 6860 + }, + { + "entropy": 6.334926986694336, + "epoch": 7.326748531767218, + "grad_norm": 1.21875, + "learning_rate": 0.00014192881342908604, + "loss": 5.4803, + "mean_token_accuracy": 0.18917828649282456, + "num_tokens": 15031082.0, + "step": 6865 + }, + { + "entropy": 6.286368560791016, + "epoch": 7.3320875600640685, + "grad_norm": 1.0859375, + "learning_rate": 0.00014158815079453268, + "loss": 5.4412, + "mean_token_accuracy": 0.19314158707857132, + "num_tokens": 15041728.0, + "step": 6870 + }, + { + "entropy": 6.300330734252929, + "epoch": 7.337426588360918, + "grad_norm": 1.125, + "learning_rate": 0.00014124795916059548, + "loss": 5.4293, + "mean_token_accuracy": 0.19236666411161424, + "num_tokens": 15052131.0, + "step": 6875 + }, + { + "entropy": 6.248535871505737, + "epoch": 7.342765616657768, + "grad_norm": 1.34375, + "learning_rate": 0.00014090823972829586, + "loss": 5.3861, + "mean_token_accuracy": 0.19000423103570938, + "num_tokens": 15063377.0, + "step": 6880 + }, + { + "entropy": 6.272410345077515, + "epoch": 7.348104644954618, + "grad_norm": 1.125, + "learning_rate": 0.00014056899369698785, + "loss": 5.387, + "mean_token_accuracy": 0.19852375388145446, + "num_tokens": 15073808.0, + "step": 6885 + }, + { + "entropy": 6.3073197364807125, + "epoch": 7.353443673251468, + "grad_norm": 1.2265625, + "learning_rate": 0.0001402302222643545, + "loss": 5.4592, + "mean_token_accuracy": 0.1940150499343872, + "num_tokens": 15084409.0, + "step": 6890 + }, + { + "entropy": 6.310897445678711, + "epoch": 7.358782701548318, + "grad_norm": 1.359375, + "learning_rate": 0.00013989192662640306, + "loss": 5.4773, + "mean_token_accuracy": 0.18742646425962448, + "num_tokens": 15094861.0, + "step": 6895 + }, + { + "entropy": 6.303181982040405, + "epoch": 7.364121729845168, + "grad_norm": 1.125, + "learning_rate": 0.0001395541079774612, + "loss": 5.4783, + "mean_token_accuracy": 0.18808880746364592, + "num_tokens": 15104939.0, + "step": 6900 + }, + { + "entropy": 6.226565361022949, + "epoch": 7.369460758142019, + "grad_norm": 1.140625, + "learning_rate": 0.00013921676751017255, + "loss": 5.365, + "mean_token_accuracy": 0.19940806925296783, + "num_tokens": 15115243.0, + "step": 6905 + }, + { + "entropy": 6.267017602920532, + "epoch": 7.374799786438868, + "grad_norm": 1.171875, + "learning_rate": 0.00013887990641549245, + "loss": 5.4636, + "mean_token_accuracy": 0.18399228155612946, + "num_tokens": 15127363.0, + "step": 6910 + }, + { + "entropy": 6.279464530944824, + "epoch": 7.380138814735718, + "grad_norm": 1.2109375, + "learning_rate": 0.00013854352588268408, + "loss": 5.3497, + "mean_token_accuracy": 0.19327647387981414, + "num_tokens": 15138128.0, + "step": 6915 + }, + { + "entropy": 6.303591060638428, + "epoch": 7.385477843032568, + "grad_norm": 1.2265625, + "learning_rate": 0.0001382076270993138, + "loss": 5.5058, + "mean_token_accuracy": 0.1778939798474312, + "num_tokens": 15148911.0, + "step": 6920 + }, + { + "entropy": 6.257078218460083, + "epoch": 7.3908168713294184, + "grad_norm": 1.140625, + "learning_rate": 0.0001378722112512474, + "loss": 5.4458, + "mean_token_accuracy": 0.18303258419036866, + "num_tokens": 15159564.0, + "step": 6925 + }, + { + "entropy": 6.266393041610717, + "epoch": 7.396155899626268, + "grad_norm": 1.1875, + "learning_rate": 0.0001375372795226455, + "loss": 5.4699, + "mean_token_accuracy": 0.1912732571363449, + "num_tokens": 15170536.0, + "step": 6930 + }, + { + "entropy": 6.302108573913574, + "epoch": 7.401494927923118, + "grad_norm": 1.21875, + "learning_rate": 0.00013720283309595987, + "loss": 5.463, + "mean_token_accuracy": 0.19185779988765717, + "num_tokens": 15181242.0, + "step": 6935 + }, + { + "entropy": 6.343116331100464, + "epoch": 7.406833956219968, + "grad_norm": 1.1171875, + "learning_rate": 0.00013686887315192842, + "loss": 5.4834, + "mean_token_accuracy": 0.18818345814943313, + "num_tokens": 15192873.0, + "step": 6940 + }, + { + "entropy": 6.30702543258667, + "epoch": 7.412172984516818, + "grad_norm": 1.1328125, + "learning_rate": 0.00013653540086957218, + "loss": 5.4501, + "mean_token_accuracy": 0.19412994533777236, + "num_tokens": 15204059.0, + "step": 6945 + }, + { + "entropy": 6.3180159568786625, + "epoch": 7.417512012813668, + "grad_norm": 1.1328125, + "learning_rate": 0.0001362024174261901, + "loss": 5.5063, + "mean_token_accuracy": 0.18488460928201675, + "num_tokens": 15214435.0, + "step": 6950 + }, + { + "entropy": 6.308865594863891, + "epoch": 7.422851041110518, + "grad_norm": 1.1484375, + "learning_rate": 0.0001358699239973556, + "loss": 5.4797, + "mean_token_accuracy": 0.1889624461531639, + "num_tokens": 15225514.0, + "step": 6955 + }, + { + "entropy": 6.288485956192017, + "epoch": 7.428190069407368, + "grad_norm": 1.2421875, + "learning_rate": 0.0001355379217569119, + "loss": 5.373, + "mean_token_accuracy": 0.19830633103847503, + "num_tokens": 15236329.0, + "step": 6960 + }, + { + "entropy": 6.25889835357666, + "epoch": 7.433529097704218, + "grad_norm": 1.265625, + "learning_rate": 0.00013520641187696834, + "loss": 5.3872, + "mean_token_accuracy": 0.19201608002185822, + "num_tokens": 15246239.0, + "step": 6965 + }, + { + "entropy": 6.273760986328125, + "epoch": 7.438868126001068, + "grad_norm": 1.109375, + "learning_rate": 0.00013487539552789585, + "loss": 5.4801, + "mean_token_accuracy": 0.19855868369340895, + "num_tokens": 15258107.0, + "step": 6970 + }, + { + "entropy": 6.29157280921936, + "epoch": 7.444207154297918, + "grad_norm": 1.1796875, + "learning_rate": 0.00013454487387832298, + "loss": 5.4118, + "mean_token_accuracy": 0.18662227392196656, + "num_tokens": 15269494.0, + "step": 6975 + }, + { + "entropy": 6.361139106750488, + "epoch": 7.4495461825947675, + "grad_norm": 1.25, + "learning_rate": 0.00013421484809513195, + "loss": 5.5343, + "mean_token_accuracy": 0.17982688099145888, + "num_tokens": 15280847.0, + "step": 6980 + }, + { + "entropy": 6.348047399520874, + "epoch": 7.454885210891618, + "grad_norm": 1.4140625, + "learning_rate": 0.00013388531934345417, + "loss": 5.4806, + "mean_token_accuracy": 0.18755375295877458, + "num_tokens": 15291602.0, + "step": 6985 + }, + { + "entropy": 6.304960441589356, + "epoch": 7.460224239188467, + "grad_norm": 1.203125, + "learning_rate": 0.00013355628878666654, + "loss": 5.4256, + "mean_token_accuracy": 0.1935595080256462, + "num_tokens": 15302346.0, + "step": 6990 + }, + { + "entropy": 6.280840587615967, + "epoch": 7.465563267485318, + "grad_norm": 1.2265625, + "learning_rate": 0.00013322775758638675, + "loss": 5.4369, + "mean_token_accuracy": 0.19602899849414826, + "num_tokens": 15313721.0, + "step": 6995 + }, + { + "entropy": 6.242779636383057, + "epoch": 7.470902295782167, + "grad_norm": 1.25, + "learning_rate": 0.0001328997269024701, + "loss": 5.4481, + "mean_token_accuracy": 0.1883457660675049, + "num_tokens": 15325088.0, + "step": 7000 + }, + { + "epoch": 7.470902295782167, + "eval_entropy": 6.113379762079808, + "eval_loss": 6.547084331512451, + "eval_mean_token_accuracy": 0.13488195277266687, + "eval_num_tokens": 15325088.0, + "eval_runtime": 1.8116, + "eval_samples_per_second": 1700.127, + "eval_steps_per_second": 212.516, + "step": 7000 + }, + { + "entropy": 6.287962102890015, + "epoch": 7.476241324079018, + "grad_norm": 1.1640625, + "learning_rate": 0.00013257219789300417, + "loss": 5.48, + "mean_token_accuracy": 0.19072551280260086, + "num_tokens": 15335527.0, + "step": 7005 + }, + { + "entropy": 6.238534307479858, + "epoch": 7.481580352375867, + "grad_norm": 1.1640625, + "learning_rate": 0.000132245171714306, + "loss": 5.3978, + "mean_token_accuracy": 0.19542142897844314, + "num_tokens": 15347574.0, + "step": 7010 + }, + { + "entropy": 6.273657131195068, + "epoch": 7.486919380672718, + "grad_norm": 1.1953125, + "learning_rate": 0.00013191864952091727, + "loss": 5.4766, + "mean_token_accuracy": 0.1871364861726761, + "num_tokens": 15358778.0, + "step": 7015 + }, + { + "entropy": 6.32083649635315, + "epoch": 7.492258408969567, + "grad_norm": 1.203125, + "learning_rate": 0.00013159263246560008, + "loss": 5.5285, + "mean_token_accuracy": 0.18418796807527543, + "num_tokens": 15369696.0, + "step": 7020 + }, + { + "entropy": 6.350054740905762, + "epoch": 7.497597437266418, + "grad_norm": 1.2109375, + "learning_rate": 0.00013126712169933362, + "loss": 5.4787, + "mean_token_accuracy": 0.19281676262617112, + "num_tokens": 15380848.0, + "step": 7025 + }, + { + "entropy": 6.338539266586304, + "epoch": 7.502936465563267, + "grad_norm": 1.2890625, + "learning_rate": 0.0001309421183713093, + "loss": 5.489, + "mean_token_accuracy": 0.18487109690904618, + "num_tokens": 15390866.0, + "step": 7030 + }, + { + "entropy": 6.299791240692139, + "epoch": 7.5082754938601175, + "grad_norm": 1.125, + "learning_rate": 0.00013061762362892742, + "loss": 5.5355, + "mean_token_accuracy": 0.18896956443786622, + "num_tokens": 15402827.0, + "step": 7035 + }, + { + "entropy": 6.263814258575439, + "epoch": 7.513614522156967, + "grad_norm": 1.171875, + "learning_rate": 0.00013029363861779224, + "loss": 5.3697, + "mean_token_accuracy": 0.19655501693487168, + "num_tokens": 15413590.0, + "step": 7040 + }, + { + "entropy": 6.30505633354187, + "epoch": 7.518953550453817, + "grad_norm": 1.2265625, + "learning_rate": 0.00012997016448170907, + "loss": 5.5179, + "mean_token_accuracy": 0.1944273218512535, + "num_tokens": 15424626.0, + "step": 7045 + }, + { + "entropy": 6.302839183807373, + "epoch": 7.524292578750668, + "grad_norm": 1.1796875, + "learning_rate": 0.000129647202362679, + "loss": 5.5083, + "mean_token_accuracy": 0.18509242087602615, + "num_tokens": 15435369.0, + "step": 7050 + }, + { + "entropy": 6.266674900054932, + "epoch": 7.529631607047517, + "grad_norm": 1.171875, + "learning_rate": 0.00012932475340089606, + "loss": 5.3647, + "mean_token_accuracy": 0.1904921844601631, + "num_tokens": 15446093.0, + "step": 7055 + }, + { + "entropy": 6.313183116912842, + "epoch": 7.534970635344367, + "grad_norm": 1.1015625, + "learning_rate": 0.00012900281873474214, + "loss": 5.3895, + "mean_token_accuracy": 0.19382342249155043, + "num_tokens": 15458535.0, + "step": 7060 + }, + { + "entropy": 6.348286533355713, + "epoch": 7.540309663641217, + "grad_norm": 1.1875, + "learning_rate": 0.00012868139950078376, + "loss": 5.4868, + "mean_token_accuracy": 0.1908288910984993, + "num_tokens": 15469288.0, + "step": 7065 + }, + { + "entropy": 6.249121379852295, + "epoch": 7.545648691938068, + "grad_norm": 1.171875, + "learning_rate": 0.0001283604968337676, + "loss": 5.4569, + "mean_token_accuracy": 0.18953004479408264, + "num_tokens": 15479643.0, + "step": 7070 + }, + { + "entropy": 6.264892864227295, + "epoch": 7.550987720234917, + "grad_norm": 1.0703125, + "learning_rate": 0.00012804011186661664, + "loss": 5.4565, + "mean_token_accuracy": 0.18462781757116317, + "num_tokens": 15491012.0, + "step": 7075 + }, + { + "entropy": 6.2518665313720705, + "epoch": 7.556326748531768, + "grad_norm": 1.1328125, + "learning_rate": 0.00012772024573042625, + "loss": 5.4577, + "mean_token_accuracy": 0.1880313828587532, + "num_tokens": 15501621.0, + "step": 7080 + }, + { + "entropy": 6.325869989395142, + "epoch": 7.561665776828617, + "grad_norm": 1.0859375, + "learning_rate": 0.00012740089955445993, + "loss": 5.4366, + "mean_token_accuracy": 0.19207198768854142, + "num_tokens": 15512463.0, + "step": 7085 + }, + { + "entropy": 6.317035770416259, + "epoch": 7.5670048051254675, + "grad_norm": 1.21875, + "learning_rate": 0.00012708207446614577, + "loss": 5.417, + "mean_token_accuracy": 0.19555209428071976, + "num_tokens": 15522141.0, + "step": 7090 + }, + { + "entropy": 6.288141679763794, + "epoch": 7.572343833422317, + "grad_norm": 1.265625, + "learning_rate": 0.00012676377159107194, + "loss": 5.5003, + "mean_token_accuracy": 0.18633041232824327, + "num_tokens": 15532332.0, + "step": 7095 + }, + { + "entropy": 6.313205575942993, + "epoch": 7.577682861719167, + "grad_norm": 1.171875, + "learning_rate": 0.00012644599205298323, + "loss": 5.5188, + "mean_token_accuracy": 0.19106141477823257, + "num_tokens": 15542157.0, + "step": 7100 + }, + { + "entropy": 6.186431550979615, + "epoch": 7.583021890016017, + "grad_norm": 1.140625, + "learning_rate": 0.00012612873697377645, + "loss": 5.3858, + "mean_token_accuracy": 0.19531311988830566, + "num_tokens": 15554015.0, + "step": 7105 + }, + { + "entropy": 6.259077882766723, + "epoch": 7.588360918312867, + "grad_norm": 1.2109375, + "learning_rate": 0.00012581200747349713, + "loss": 5.4177, + "mean_token_accuracy": 0.19319947063922882, + "num_tokens": 15565134.0, + "step": 7110 + }, + { + "entropy": 6.28724513053894, + "epoch": 7.593699946609717, + "grad_norm": 1.1640625, + "learning_rate": 0.0001254958046703354, + "loss": 5.4835, + "mean_token_accuracy": 0.18521590232849122, + "num_tokens": 15575570.0, + "step": 7115 + }, + { + "entropy": 6.304519891738892, + "epoch": 7.599038974906567, + "grad_norm": 1.3203125, + "learning_rate": 0.0001251801296806215, + "loss": 5.452, + "mean_token_accuracy": 0.1922187700867653, + "num_tokens": 15586350.0, + "step": 7120 + }, + { + "entropy": 6.311883592605591, + "epoch": 7.604378003203417, + "grad_norm": 1.1328125, + "learning_rate": 0.00012486498361882276, + "loss": 5.4631, + "mean_token_accuracy": 0.1864357113838196, + "num_tokens": 15597064.0, + "step": 7125 + }, + { + "entropy": 6.283797788619995, + "epoch": 7.609717031500267, + "grad_norm": 1.078125, + "learning_rate": 0.00012455036759753872, + "loss": 5.4201, + "mean_token_accuracy": 0.19565890729427338, + "num_tokens": 15608424.0, + "step": 7130 + }, + { + "entropy": 6.309296417236328, + "epoch": 7.615056059797117, + "grad_norm": 1.15625, + "learning_rate": 0.0001242362827274981, + "loss": 5.4694, + "mean_token_accuracy": 0.18753717243671417, + "num_tokens": 15619193.0, + "step": 7135 + }, + { + "entropy": 6.307245063781738, + "epoch": 7.620395088093967, + "grad_norm": 1.1328125, + "learning_rate": 0.00012392273011755387, + "loss": 5.4772, + "mean_token_accuracy": 0.18487688452005385, + "num_tokens": 15630391.0, + "step": 7140 + }, + { + "entropy": 6.3016722202301025, + "epoch": 7.6257341163908166, + "grad_norm": 1.21875, + "learning_rate": 0.00012360971087468044, + "loss": 5.4741, + "mean_token_accuracy": 0.18722636699676515, + "num_tokens": 15641098.0, + "step": 7145 + }, + { + "entropy": 6.349103164672852, + "epoch": 7.631073144687667, + "grad_norm": 1.1875, + "learning_rate": 0.00012329722610396885, + "loss": 5.5289, + "mean_token_accuracy": 0.17972193509340287, + "num_tokens": 15652677.0, + "step": 7150 + }, + { + "entropy": 6.281785202026367, + "epoch": 7.6364121729845165, + "grad_norm": 1.328125, + "learning_rate": 0.00012298527690862346, + "loss": 5.3607, + "mean_token_accuracy": 0.20771307796239852, + "num_tokens": 15664161.0, + "step": 7155 + }, + { + "entropy": 6.28417181968689, + "epoch": 7.641751201281367, + "grad_norm": 1.25, + "learning_rate": 0.00012267386438995762, + "loss": 5.4356, + "mean_token_accuracy": 0.1937227040529251, + "num_tokens": 15674663.0, + "step": 7160 + }, + { + "entropy": 6.308889245986938, + "epoch": 7.647090229578216, + "grad_norm": 1.2734375, + "learning_rate": 0.00012236298964739018, + "loss": 5.4676, + "mean_token_accuracy": 0.18741294145584106, + "num_tokens": 15684798.0, + "step": 7165 + }, + { + "entropy": 6.325117874145508, + "epoch": 7.652429257875067, + "grad_norm": 1.2890625, + "learning_rate": 0.00012205265377844127, + "loss": 5.5007, + "mean_token_accuracy": 0.1891069769859314, + "num_tokens": 15694796.0, + "step": 7170 + }, + { + "entropy": 6.306446743011475, + "epoch": 7.657768286171917, + "grad_norm": 1.203125, + "learning_rate": 0.0001217428578787285, + "loss": 5.5164, + "mean_token_accuracy": 0.1903630942106247, + "num_tokens": 15705325.0, + "step": 7175 + }, + { + "entropy": 6.331416177749634, + "epoch": 7.663107314468767, + "grad_norm": 1.2421875, + "learning_rate": 0.00012143360304196345, + "loss": 5.4456, + "mean_token_accuracy": 0.19512286633253098, + "num_tokens": 15716106.0, + "step": 7180 + }, + { + "entropy": 6.254957675933838, + "epoch": 7.668446342765616, + "grad_norm": 1.3203125, + "learning_rate": 0.00012112489035994715, + "loss": 5.4089, + "mean_token_accuracy": 0.1882454499602318, + "num_tokens": 15726896.0, + "step": 7185 + }, + { + "entropy": 6.280194568634033, + "epoch": 7.673785371062467, + "grad_norm": 1.15625, + "learning_rate": 0.00012081672092256693, + "loss": 5.4604, + "mean_token_accuracy": 0.1862812101840973, + "num_tokens": 15737492.0, + "step": 7190 + }, + { + "entropy": 6.3121009349823, + "epoch": 7.679124399359317, + "grad_norm": 1.171875, + "learning_rate": 0.00012050909581779194, + "loss": 5.4492, + "mean_token_accuracy": 0.18987040221691132, + "num_tokens": 15748941.0, + "step": 7195 + }, + { + "entropy": 6.290960836410522, + "epoch": 7.6844634276561665, + "grad_norm": 1.0625, + "learning_rate": 0.00012020201613166996, + "loss": 5.4389, + "mean_token_accuracy": 0.1893820658326149, + "num_tokens": 15760364.0, + "step": 7200 + }, + { + "entropy": 6.273015642166138, + "epoch": 7.689802455953017, + "grad_norm": 1.203125, + "learning_rate": 0.0001198954829483227, + "loss": 5.4886, + "mean_token_accuracy": 0.19192273169755936, + "num_tokens": 15770827.0, + "step": 7205 + }, + { + "entropy": 6.291214561462402, + "epoch": 7.695141484249866, + "grad_norm": 1.2265625, + "learning_rate": 0.00011958949734994294, + "loss": 5.4105, + "mean_token_accuracy": 0.19716935455799103, + "num_tokens": 15781685.0, + "step": 7210 + }, + { + "entropy": 6.3456682682037355, + "epoch": 7.700480512546717, + "grad_norm": 1.078125, + "learning_rate": 0.00011928406041679016, + "loss": 5.5194, + "mean_token_accuracy": 0.18710066080093385, + "num_tokens": 15793467.0, + "step": 7215 + }, + { + "entropy": 6.278537702560425, + "epoch": 7.705819540843566, + "grad_norm": 1.1640625, + "learning_rate": 0.00011897917322718658, + "loss": 5.4711, + "mean_token_accuracy": 0.18923619240522385, + "num_tokens": 15804030.0, + "step": 7220 + }, + { + "entropy": 6.326219749450684, + "epoch": 7.711158569140417, + "grad_norm": 1.171875, + "learning_rate": 0.00011867483685751393, + "loss": 5.4758, + "mean_token_accuracy": 0.19105219542980195, + "num_tokens": 15815834.0, + "step": 7225 + }, + { + "entropy": 6.304016733169556, + "epoch": 7.716497597437266, + "grad_norm": 1.0625, + "learning_rate": 0.00011837105238220905, + "loss": 5.4935, + "mean_token_accuracy": 0.18709275275468826, + "num_tokens": 15828605.0, + "step": 7230 + }, + { + "entropy": 6.295789098739624, + "epoch": 7.721836625734117, + "grad_norm": 1.25, + "learning_rate": 0.00011806782087376044, + "loss": 5.4023, + "mean_token_accuracy": 0.1915412038564682, + "num_tokens": 15838820.0, + "step": 7235 + }, + { + "entropy": 6.2806047916412355, + "epoch": 7.727175654030966, + "grad_norm": 1.21875, + "learning_rate": 0.00011776514340270435, + "loss": 5.471, + "mean_token_accuracy": 0.19484994560480118, + "num_tokens": 15850425.0, + "step": 7240 + }, + { + "entropy": 6.332225275039673, + "epoch": 7.732514682327817, + "grad_norm": 1.234375, + "learning_rate": 0.0001174630210376212, + "loss": 5.5353, + "mean_token_accuracy": 0.18361962884664534, + "num_tokens": 15861175.0, + "step": 7245 + }, + { + "entropy": 6.294142627716065, + "epoch": 7.737853710624666, + "grad_norm": 1.265625, + "learning_rate": 0.00011716145484513142, + "loss": 5.4624, + "mean_token_accuracy": 0.18699735403060913, + "num_tokens": 15871425.0, + "step": 7250 + }, + { + "entropy": 6.280290603637695, + "epoch": 7.7431927389215165, + "grad_norm": 1.3046875, + "learning_rate": 0.00011686044588989222, + "loss": 5.3874, + "mean_token_accuracy": 0.20123666226863862, + "num_tokens": 15881984.0, + "step": 7255 + }, + { + "entropy": 6.221923875808716, + "epoch": 7.748531767218366, + "grad_norm": 1.1015625, + "learning_rate": 0.00011655999523459311, + "loss": 5.4414, + "mean_token_accuracy": 0.1885385051369667, + "num_tokens": 15891940.0, + "step": 7260 + }, + { + "entropy": 6.3203362941741945, + "epoch": 7.753870795515216, + "grad_norm": 1.1953125, + "learning_rate": 0.00011626010393995301, + "loss": 5.5108, + "mean_token_accuracy": 0.1837375894188881, + "num_tokens": 15902899.0, + "step": 7265 + }, + { + "entropy": 6.2765544891357425, + "epoch": 7.759209823812066, + "grad_norm": 1.2578125, + "learning_rate": 0.00011596077306471577, + "loss": 5.4318, + "mean_token_accuracy": 0.193292735517025, + "num_tokens": 15913022.0, + "step": 7270 + }, + { + "entropy": 6.257391500473022, + "epoch": 7.764548852108916, + "grad_norm": 1.15625, + "learning_rate": 0.00011566200366564665, + "loss": 5.4287, + "mean_token_accuracy": 0.19449929893016815, + "num_tokens": 15924046.0, + "step": 7275 + }, + { + "entropy": 6.305574607849121, + "epoch": 7.769887880405766, + "grad_norm": 1.0390625, + "learning_rate": 0.00011536379679752901, + "loss": 5.5019, + "mean_token_accuracy": 0.18431514203548433, + "num_tokens": 15935993.0, + "step": 7280 + }, + { + "entropy": 6.27879376411438, + "epoch": 7.775226908702616, + "grad_norm": 1.234375, + "learning_rate": 0.00011506615351315989, + "loss": 5.52, + "mean_token_accuracy": 0.18554560840129852, + "num_tokens": 15946183.0, + "step": 7285 + }, + { + "entropy": 6.297955513000488, + "epoch": 7.780565936999466, + "grad_norm": 1.203125, + "learning_rate": 0.00011476907486334688, + "loss": 5.4348, + "mean_token_accuracy": 0.18957224488258362, + "num_tokens": 15956010.0, + "step": 7290 + }, + { + "entropy": 6.317027902603149, + "epoch": 7.785904965296316, + "grad_norm": 1.1796875, + "learning_rate": 0.00011447256189690404, + "loss": 5.4409, + "mean_token_accuracy": 0.1914788231253624, + "num_tokens": 15966747.0, + "step": 7295 + }, + { + "entropy": 6.245621633529663, + "epoch": 7.791243993593166, + "grad_norm": 1.21875, + "learning_rate": 0.00011417661566064834, + "loss": 5.4596, + "mean_token_accuracy": 0.1893852472305298, + "num_tokens": 15976551.0, + "step": 7300 + }, + { + "entropy": 6.285864305496216, + "epoch": 7.796583021890016, + "grad_norm": 1.2890625, + "learning_rate": 0.00011388123719939586, + "loss": 5.4493, + "mean_token_accuracy": 0.1863636240363121, + "num_tokens": 15987074.0, + "step": 7305 + }, + { + "entropy": 6.305343341827393, + "epoch": 7.801922050186866, + "grad_norm": 1.328125, + "learning_rate": 0.00011358642755595853, + "loss": 5.4769, + "mean_token_accuracy": 0.1860616162419319, + "num_tokens": 15997180.0, + "step": 7310 + }, + { + "entropy": 6.33305025100708, + "epoch": 7.807261078483716, + "grad_norm": 1.109375, + "learning_rate": 0.00011329218777113965, + "loss": 5.4329, + "mean_token_accuracy": 0.1920934110879898, + "num_tokens": 16008653.0, + "step": 7315 + }, + { + "entropy": 6.348929166793823, + "epoch": 7.812600106780566, + "grad_norm": 1.21875, + "learning_rate": 0.00011299851888373102, + "loss": 5.5976, + "mean_token_accuracy": 0.18123090267181396, + "num_tokens": 16020561.0, + "step": 7320 + }, + { + "entropy": 6.2745198726654055, + "epoch": 7.817939135077416, + "grad_norm": 1.21875, + "learning_rate": 0.00011270542193050888, + "loss": 5.4626, + "mean_token_accuracy": 0.19890002608299256, + "num_tokens": 16031456.0, + "step": 7325 + }, + { + "entropy": 6.341566324234009, + "epoch": 7.823278163374265, + "grad_norm": 1.1640625, + "learning_rate": 0.00011241289794623018, + "loss": 5.5555, + "mean_token_accuracy": 0.1821800947189331, + "num_tokens": 16042757.0, + "step": 7330 + }, + { + "entropy": 6.235800075531006, + "epoch": 7.828617191671116, + "grad_norm": 1.234375, + "learning_rate": 0.00011212094796362907, + "loss": 5.3304, + "mean_token_accuracy": 0.19140418320894242, + "num_tokens": 16053022.0, + "step": 7335 + }, + { + "entropy": 6.276721525192261, + "epoch": 7.833956219967966, + "grad_norm": 1.2109375, + "learning_rate": 0.00011182957301341321, + "loss": 5.4054, + "mean_token_accuracy": 0.18919897228479385, + "num_tokens": 16063959.0, + "step": 7340 + }, + { + "entropy": 6.3329778671264645, + "epoch": 7.839295248264816, + "grad_norm": 1.2265625, + "learning_rate": 0.00011153877412426034, + "loss": 5.4952, + "mean_token_accuracy": 0.18930234760046005, + "num_tokens": 16074402.0, + "step": 7345 + }, + { + "entropy": 6.211783933639526, + "epoch": 7.844634276561666, + "grad_norm": 1.234375, + "learning_rate": 0.0001112485523228142, + "loss": 5.371, + "mean_token_accuracy": 0.1979040816426277, + "num_tokens": 16085596.0, + "step": 7350 + }, + { + "entropy": 6.2267842292785645, + "epoch": 7.849973304858516, + "grad_norm": 1.3203125, + "learning_rate": 0.0001109589086336814, + "loss": 5.44, + "mean_token_accuracy": 0.19745024889707566, + "num_tokens": 16095625.0, + "step": 7355 + }, + { + "entropy": 6.285884141921997, + "epoch": 7.855312333155366, + "grad_norm": 1.2734375, + "learning_rate": 0.00011066984407942737, + "loss": 5.419, + "mean_token_accuracy": 0.18915786296129228, + "num_tokens": 16107750.0, + "step": 7360 + }, + { + "entropy": 6.269041252136231, + "epoch": 7.8606513614522155, + "grad_norm": 1.1875, + "learning_rate": 0.000110381359680573, + "loss": 5.4201, + "mean_token_accuracy": 0.19418328255414963, + "num_tokens": 16118652.0, + "step": 7365 + }, + { + "entropy": 6.27239875793457, + "epoch": 7.865990389749066, + "grad_norm": 1.2109375, + "learning_rate": 0.00011009345645559113, + "loss": 5.4206, + "mean_token_accuracy": 0.1961502403020859, + "num_tokens": 16129598.0, + "step": 7370 + }, + { + "entropy": 6.298056602478027, + "epoch": 7.8713294180459155, + "grad_norm": 1.2578125, + "learning_rate": 0.00010980613542090256, + "loss": 5.4407, + "mean_token_accuracy": 0.18880777657032013, + "num_tokens": 16140844.0, + "step": 7375 + }, + { + "entropy": 6.235966157913208, + "epoch": 7.876668446342766, + "grad_norm": 1.125, + "learning_rate": 0.00010951939759087298, + "loss": 5.4592, + "mean_token_accuracy": 0.1888560727238655, + "num_tokens": 16150922.0, + "step": 7380 + }, + { + "entropy": 6.307231903076172, + "epoch": 7.882007474639615, + "grad_norm": 1.328125, + "learning_rate": 0.00010923324397780887, + "loss": 5.4756, + "mean_token_accuracy": 0.19293616265058516, + "num_tokens": 16162440.0, + "step": 7385 + }, + { + "entropy": 6.284047031402588, + "epoch": 7.887346502936466, + "grad_norm": 1.1328125, + "learning_rate": 0.0001089476755919544, + "loss": 5.4599, + "mean_token_accuracy": 0.19319476932287216, + "num_tokens": 16173475.0, + "step": 7390 + }, + { + "entropy": 6.298360204696655, + "epoch": 7.892685531233315, + "grad_norm": 1.3359375, + "learning_rate": 0.00010866269344148746, + "loss": 5.5093, + "mean_token_accuracy": 0.18962480425834655, + "num_tokens": 16185668.0, + "step": 7395 + }, + { + "entropy": 6.305071783065796, + "epoch": 7.898024559530166, + "grad_norm": 1.2421875, + "learning_rate": 0.00010837829853251636, + "loss": 5.4894, + "mean_token_accuracy": 0.18193406611680984, + "num_tokens": 16198027.0, + "step": 7400 + }, + { + "entropy": 6.3255843162536625, + "epoch": 7.903363587827015, + "grad_norm": 1.234375, + "learning_rate": 0.00010809449186907611, + "loss": 5.5162, + "mean_token_accuracy": 0.18655869215726853, + "num_tokens": 16209601.0, + "step": 7405 + }, + { + "entropy": 6.297071886062622, + "epoch": 7.908702616123866, + "grad_norm": 1.125, + "learning_rate": 0.00010781127445312516, + "loss": 5.3818, + "mean_token_accuracy": 0.2019501507282257, + "num_tokens": 16221300.0, + "step": 7410 + }, + { + "entropy": 6.289458560943603, + "epoch": 7.914041644420715, + "grad_norm": 1.1171875, + "learning_rate": 0.00010752864728454143, + "loss": 5.4794, + "mean_token_accuracy": 0.18796940445899962, + "num_tokens": 16232923.0, + "step": 7415 + }, + { + "entropy": 6.289797735214234, + "epoch": 7.9193806727175655, + "grad_norm": 1.2421875, + "learning_rate": 0.00010724661136111918, + "loss": 5.4568, + "mean_token_accuracy": 0.18568747937679292, + "num_tokens": 16243373.0, + "step": 7420 + }, + { + "entropy": 6.255471897125244, + "epoch": 7.924719701014415, + "grad_norm": 1.25, + "learning_rate": 0.00010696516767856545, + "loss": 5.4383, + "mean_token_accuracy": 0.186435666680336, + "num_tokens": 16254716.0, + "step": 7425 + }, + { + "entropy": 6.313004779815674, + "epoch": 7.930058729311265, + "grad_norm": 1.0546875, + "learning_rate": 0.0001066843172304959, + "loss": 5.5306, + "mean_token_accuracy": 0.18111457228660582, + "num_tokens": 16266174.0, + "step": 7430 + }, + { + "entropy": 6.270875453948975, + "epoch": 7.935397757608115, + "grad_norm": 1.2578125, + "learning_rate": 0.00010640406100843242, + "loss": 5.3602, + "mean_token_accuracy": 0.19346348643302919, + "num_tokens": 16275927.0, + "step": 7435 + }, + { + "entropy": 6.3107868194580075, + "epoch": 7.940736785904965, + "grad_norm": 1.234375, + "learning_rate": 0.00010612440000179861, + "loss": 5.5281, + "mean_token_accuracy": 0.18930120766162872, + "num_tokens": 16287518.0, + "step": 7440 + }, + { + "entropy": 6.290305042266846, + "epoch": 7.946075814201816, + "grad_norm": 1.1875, + "learning_rate": 0.000105845335197917, + "loss": 5.4716, + "mean_token_accuracy": 0.18532466441392897, + "num_tokens": 16298201.0, + "step": 7445 + }, + { + "entropy": 6.315746784210205, + "epoch": 7.951414842498665, + "grad_norm": 1.1953125, + "learning_rate": 0.00010556686758200499, + "loss": 5.4838, + "mean_token_accuracy": 0.1856360211968422, + "num_tokens": 16309768.0, + "step": 7450 + }, + { + "entropy": 6.258326768875122, + "epoch": 7.956753870795515, + "grad_norm": 1.171875, + "learning_rate": 0.00010528899813717194, + "loss": 5.5407, + "mean_token_accuracy": 0.18397447764873504, + "num_tokens": 16320837.0, + "step": 7455 + }, + { + "entropy": 6.266445732116699, + "epoch": 7.962092899092365, + "grad_norm": 1.34375, + "learning_rate": 0.00010501172784441522, + "loss": 5.4617, + "mean_token_accuracy": 0.18468159288167954, + "num_tokens": 16332729.0, + "step": 7460 + }, + { + "entropy": 6.273439836502075, + "epoch": 7.967431927389216, + "grad_norm": 1.125, + "learning_rate": 0.00010473505768261691, + "loss": 5.4136, + "mean_token_accuracy": 0.18490265756845475, + "num_tokens": 16343444.0, + "step": 7465 + }, + { + "entropy": 6.235618734359742, + "epoch": 7.972770955686065, + "grad_norm": 1.25, + "learning_rate": 0.00010445898862854056, + "loss": 5.4047, + "mean_token_accuracy": 0.19600029289722443, + "num_tokens": 16354452.0, + "step": 7470 + }, + { + "entropy": 6.254809045791626, + "epoch": 7.9781099839829155, + "grad_norm": 1.2421875, + "learning_rate": 0.00010418352165682737, + "loss": 5.4354, + "mean_token_accuracy": 0.19964061975479125, + "num_tokens": 16365276.0, + "step": 7475 + }, + { + "entropy": 6.267963027954101, + "epoch": 7.983449012279765, + "grad_norm": 1.1015625, + "learning_rate": 0.00010390865773999305, + "loss": 5.4557, + "mean_token_accuracy": 0.19333289116621016, + "num_tokens": 16376176.0, + "step": 7480 + }, + { + "entropy": 6.220429754257202, + "epoch": 7.988788040576615, + "grad_norm": 1.1953125, + "learning_rate": 0.00010363439784842419, + "loss": 5.4219, + "mean_token_accuracy": 0.18904615938663483, + "num_tokens": 16386610.0, + "step": 7485 + }, + { + "entropy": 6.231282806396484, + "epoch": 7.994127068873465, + "grad_norm": 1.4140625, + "learning_rate": 0.00010336074295037506, + "loss": 5.376, + "mean_token_accuracy": 0.20314324349164964, + "num_tokens": 16396838.0, + "step": 7490 + }, + { + "entropy": 6.271087694168091, + "epoch": 7.999466097170315, + "grad_norm": 1.203125, + "learning_rate": 0.00010308769401196371, + "loss": 5.5287, + "mean_token_accuracy": 0.18455882072448732, + "num_tokens": 16407344.0, + "step": 7495 + }, + { + "entropy": 6.314283529917399, + "epoch": 8.00427122263748, + "grad_norm": 1.21875, + "learning_rate": 0.00010281525199716934, + "loss": 5.3818, + "mean_token_accuracy": 0.1875956224070655, + "num_tokens": 16416439.0, + "step": 7500 + }, + { + "epoch": 8.00427122263748, + "eval_entropy": 6.136151521856134, + "eval_loss": 6.5423078536987305, + "eval_mean_token_accuracy": 0.13510648057638824, + "eval_num_tokens": 16416439.0, + "eval_runtime": 1.8109, + "eval_samples_per_second": 1700.848, + "eval_steps_per_second": 212.606, + "step": 7500 + }, + { + "entropy": 6.285388946533203, + "epoch": 8.00961025093433, + "grad_norm": 1.1640625, + "learning_rate": 0.00010254341786782806, + "loss": 5.4454, + "mean_token_accuracy": 0.19184360802173614, + "num_tokens": 16427682.0, + "step": 7505 + }, + { + "entropy": 6.251141166687011, + "epoch": 8.01494927923118, + "grad_norm": 1.1171875, + "learning_rate": 0.00010227219258363021, + "loss": 5.3525, + "mean_token_accuracy": 0.1970635950565338, + "num_tokens": 16438338.0, + "step": 7510 + }, + { + "entropy": 6.2690081119537355, + "epoch": 8.02028830752803, + "grad_norm": 1.3203125, + "learning_rate": 0.00010200157710211637, + "loss": 5.3709, + "mean_token_accuracy": 0.20117098987102508, + "num_tokens": 16449151.0, + "step": 7515 + }, + { + "entropy": 6.241944169998169, + "epoch": 8.025627335824879, + "grad_norm": 1.25, + "learning_rate": 0.00010173157237867444, + "loss": 5.3415, + "mean_token_accuracy": 0.19427326321601868, + "num_tokens": 16460160.0, + "step": 7520 + }, + { + "entropy": 6.247269773483277, + "epoch": 8.03096636412173, + "grad_norm": 1.234375, + "learning_rate": 0.00010146217936653614, + "loss": 5.3315, + "mean_token_accuracy": 0.20295249819755554, + "num_tokens": 16470602.0, + "step": 7525 + }, + { + "entropy": 6.3116706848144535, + "epoch": 8.03630539241858, + "grad_norm": 1.265625, + "learning_rate": 0.0001011933990167732, + "loss": 5.3299, + "mean_token_accuracy": 0.19919252395629883, + "num_tokens": 16481086.0, + "step": 7530 + }, + { + "entropy": 6.287974166870117, + "epoch": 8.04164442071543, + "grad_norm": 1.1484375, + "learning_rate": 0.00010092523227829492, + "loss": 5.3898, + "mean_token_accuracy": 0.1971887692809105, + "num_tokens": 16492012.0, + "step": 7535 + }, + { + "entropy": 6.300996112823486, + "epoch": 8.046983449012279, + "grad_norm": 1.234375, + "learning_rate": 0.00010065768009784381, + "loss": 5.447, + "mean_token_accuracy": 0.1879270300269127, + "num_tokens": 16502793.0, + "step": 7540 + }, + { + "entropy": 6.330128574371338, + "epoch": 8.05232247730913, + "grad_norm": 1.1875, + "learning_rate": 0.0001003907434199932, + "loss": 5.4588, + "mean_token_accuracy": 0.19208128452301027, + "num_tokens": 16512457.0, + "step": 7545 + }, + { + "entropy": 6.296833324432373, + "epoch": 8.05766150560598, + "grad_norm": 1.40625, + "learning_rate": 0.000100124423187143, + "loss": 5.3995, + "mean_token_accuracy": 0.19723411351442338, + "num_tokens": 16522859.0, + "step": 7550 + }, + { + "entropy": 6.311189317703247, + "epoch": 8.06300053390283, + "grad_norm": 1.1953125, + "learning_rate": 9.985872033951708e-05, + "loss": 5.4119, + "mean_token_accuracy": 0.195047065615654, + "num_tokens": 16533755.0, + "step": 7555 + }, + { + "entropy": 6.288791131973267, + "epoch": 8.06833956219968, + "grad_norm": 1.2578125, + "learning_rate": 9.95936358151596e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.19499182999134063, + "num_tokens": 16544928.0, + "step": 7560 + }, + { + "entropy": 6.2984113693237305, + "epoch": 8.07367859049653, + "grad_norm": 1.2109375, + "learning_rate": 9.932917054993168e-05, + "loss": 5.3576, + "mean_token_accuracy": 0.20289150178432463, + "num_tokens": 16554730.0, + "step": 7565 + }, + { + "entropy": 6.211780023574829, + "epoch": 8.07901761879338, + "grad_norm": 1.2578125, + "learning_rate": 9.906532547750839e-05, + "loss": 5.3808, + "mean_token_accuracy": 0.19330030232667922, + "num_tokens": 16565374.0, + "step": 7570 + }, + { + "entropy": 6.291947889328003, + "epoch": 8.08435664709023, + "grad_norm": 1.09375, + "learning_rate": 9.880210152937502e-05, + "loss": 5.373, + "mean_token_accuracy": 0.19923413395881653, + "num_tokens": 16576477.0, + "step": 7575 + }, + { + "entropy": 6.276288414001465, + "epoch": 8.08969567538708, + "grad_norm": 1.1171875, + "learning_rate": 9.85394996348243e-05, + "loss": 5.3712, + "mean_token_accuracy": 0.20000862181186677, + "num_tokens": 16587675.0, + "step": 7580 + }, + { + "entropy": 6.247407913208008, + "epoch": 8.095034703683929, + "grad_norm": 1.046875, + "learning_rate": 9.827752072095258e-05, + "loss": 5.2777, + "mean_token_accuracy": 0.2046089142560959, + "num_tokens": 16600895.0, + "step": 7585 + }, + { + "entropy": 6.35636796951294, + "epoch": 8.10037373198078, + "grad_norm": 1.1484375, + "learning_rate": 9.801616571265709e-05, + "loss": 5.4592, + "mean_token_accuracy": 0.19454747587442398, + "num_tokens": 16612318.0, + "step": 7590 + }, + { + "entropy": 6.331305074691772, + "epoch": 8.10571276027763, + "grad_norm": 1.1796875, + "learning_rate": 9.775543553263203e-05, + "loss": 5.4849, + "mean_token_accuracy": 0.18617027550935744, + "num_tokens": 16623490.0, + "step": 7595 + }, + { + "entropy": 6.314173412322998, + "epoch": 8.11105178857448, + "grad_norm": 1.140625, + "learning_rate": 9.74953311013661e-05, + "loss": 5.4335, + "mean_token_accuracy": 0.19303737729787826, + "num_tokens": 16635378.0, + "step": 7600 + }, + { + "entropy": 6.272602128982544, + "epoch": 8.116390816871329, + "grad_norm": 1.2578125, + "learning_rate": 9.723585333713853e-05, + "loss": 5.3626, + "mean_token_accuracy": 0.1940835028886795, + "num_tokens": 16645073.0, + "step": 7605 + }, + { + "entropy": 6.308458137512207, + "epoch": 8.12172984516818, + "grad_norm": 1.171875, + "learning_rate": 9.697700315601643e-05, + "loss": 5.403, + "mean_token_accuracy": 0.19990355968475343, + "num_tokens": 16655891.0, + "step": 7610 + }, + { + "entropy": 6.243864917755127, + "epoch": 8.12706887346503, + "grad_norm": 1.203125, + "learning_rate": 9.671878147185097e-05, + "loss": 5.3733, + "mean_token_accuracy": 0.20272928178310395, + "num_tokens": 16665887.0, + "step": 7615 + }, + { + "entropy": 6.275272703170776, + "epoch": 8.13240790176188, + "grad_norm": 1.1484375, + "learning_rate": 9.646118919627466e-05, + "loss": 5.4103, + "mean_token_accuracy": 0.19670272767543792, + "num_tokens": 16677282.0, + "step": 7620 + }, + { + "entropy": 6.315062665939331, + "epoch": 8.137746930058729, + "grad_norm": 1.09375, + "learning_rate": 9.620422723869804e-05, + "loss": 5.4226, + "mean_token_accuracy": 0.1900483101606369, + "num_tokens": 16688907.0, + "step": 7625 + }, + { + "entropy": 6.273891258239746, + "epoch": 8.143085958355579, + "grad_norm": 1.234375, + "learning_rate": 9.594789650630595e-05, + "loss": 5.3772, + "mean_token_accuracy": 0.19321130514144896, + "num_tokens": 16698767.0, + "step": 7630 + }, + { + "entropy": 6.313991069793701, + "epoch": 8.14842498665243, + "grad_norm": 1.265625, + "learning_rate": 9.569219790405514e-05, + "loss": 5.3572, + "mean_token_accuracy": 0.1905400574207306, + "num_tokens": 16708789.0, + "step": 7635 + }, + { + "entropy": 6.297112989425659, + "epoch": 8.15376401494928, + "grad_norm": 1.2421875, + "learning_rate": 9.543713233467044e-05, + "loss": 5.4322, + "mean_token_accuracy": 0.19112920761108398, + "num_tokens": 16718923.0, + "step": 7640 + }, + { + "entropy": 6.326007986068726, + "epoch": 8.159103043246128, + "grad_norm": 1.1875, + "learning_rate": 9.518270069864194e-05, + "loss": 5.5019, + "mean_token_accuracy": 0.18736330568790435, + "num_tokens": 16730878.0, + "step": 7645 + }, + { + "entropy": 6.2732117652893065, + "epoch": 8.164442071542979, + "grad_norm": 1.2421875, + "learning_rate": 9.492890389422157e-05, + "loss": 5.3433, + "mean_token_accuracy": 0.1988297149538994, + "num_tokens": 16740736.0, + "step": 7650 + }, + { + "entropy": 6.253875780105591, + "epoch": 8.16978109983983, + "grad_norm": 1.359375, + "learning_rate": 9.467574281742015e-05, + "loss": 5.3155, + "mean_token_accuracy": 0.20268877744674682, + "num_tokens": 16750294.0, + "step": 7655 + }, + { + "entropy": 6.25405969619751, + "epoch": 8.17512012813668, + "grad_norm": 1.1484375, + "learning_rate": 9.442321836200399e-05, + "loss": 5.4421, + "mean_token_accuracy": 0.19080522060394287, + "num_tokens": 16761683.0, + "step": 7660 + }, + { + "entropy": 6.2844563007354735, + "epoch": 8.180459156433528, + "grad_norm": 1.1953125, + "learning_rate": 9.417133141949186e-05, + "loss": 5.4373, + "mean_token_accuracy": 0.1910292387008667, + "num_tokens": 16772828.0, + "step": 7665 + }, + { + "entropy": 6.286375570297241, + "epoch": 8.185798184730379, + "grad_norm": 1.34375, + "learning_rate": 9.392008287915201e-05, + "loss": 5.4376, + "mean_token_accuracy": 0.19190025478601455, + "num_tokens": 16783853.0, + "step": 7670 + }, + { + "entropy": 6.296071195602417, + "epoch": 8.191137213027229, + "grad_norm": 1.3515625, + "learning_rate": 9.366947362799858e-05, + "loss": 5.3816, + "mean_token_accuracy": 0.19442843794822692, + "num_tokens": 16794032.0, + "step": 7675 + }, + { + "entropy": 6.2660017013549805, + "epoch": 8.19647624132408, + "grad_norm": 1.2265625, + "learning_rate": 9.341950455078907e-05, + "loss": 5.4141, + "mean_token_accuracy": 0.19492938816547395, + "num_tokens": 16805269.0, + "step": 7680 + }, + { + "entropy": 6.236077737808228, + "epoch": 8.20181526962093, + "grad_norm": 1.1484375, + "learning_rate": 9.31701765300206e-05, + "loss": 5.2736, + "mean_token_accuracy": 0.2090698704123497, + "num_tokens": 16817116.0, + "step": 7685 + }, + { + "entropy": 6.280970525741577, + "epoch": 8.207154297917779, + "grad_norm": 1.2109375, + "learning_rate": 9.292149044592733e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19769419878721237, + "num_tokens": 16828492.0, + "step": 7690 + }, + { + "entropy": 6.312994480133057, + "epoch": 8.212493326214629, + "grad_norm": 1.1171875, + "learning_rate": 9.267344717647682e-05, + "loss": 5.4436, + "mean_token_accuracy": 0.19130415469408035, + "num_tokens": 16839715.0, + "step": 7695 + }, + { + "entropy": 6.257885408401489, + "epoch": 8.21783235451148, + "grad_norm": 1.1796875, + "learning_rate": 9.242604759736759e-05, + "loss": 5.4476, + "mean_token_accuracy": 0.19316410273313522, + "num_tokens": 16850451.0, + "step": 7700 + }, + { + "entropy": 6.300156831741333, + "epoch": 8.22317138280833, + "grad_norm": 1.1796875, + "learning_rate": 9.217929258202528e-05, + "loss": 5.3927, + "mean_token_accuracy": 0.19539438039064408, + "num_tokens": 16861046.0, + "step": 7705 + }, + { + "entropy": 6.311345863342285, + "epoch": 8.228510411105178, + "grad_norm": 1.25, + "learning_rate": 9.193318300160024e-05, + "loss": 5.358, + "mean_token_accuracy": 0.19471683353185654, + "num_tokens": 16871748.0, + "step": 7710 + }, + { + "entropy": 6.294392871856689, + "epoch": 8.233849439402029, + "grad_norm": 1.1796875, + "learning_rate": 9.168771972496404e-05, + "loss": 5.3503, + "mean_token_accuracy": 0.19816206097602845, + "num_tokens": 16883126.0, + "step": 7715 + }, + { + "entropy": 6.264479064941407, + "epoch": 8.23918846769888, + "grad_norm": 1.203125, + "learning_rate": 9.144290361870652e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.19831522554159164, + "num_tokens": 16894377.0, + "step": 7720 + }, + { + "entropy": 6.309286832809448, + "epoch": 8.24452749599573, + "grad_norm": 1.1796875, + "learning_rate": 9.119873554713274e-05, + "loss": 5.4392, + "mean_token_accuracy": 0.19227964729070662, + "num_tokens": 16905234.0, + "step": 7725 + }, + { + "entropy": 6.304486989974976, + "epoch": 8.249866524292578, + "grad_norm": 1.265625, + "learning_rate": 9.095521637225988e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.1948908343911171, + "num_tokens": 16915031.0, + "step": 7730 + }, + { + "entropy": 6.334994268417359, + "epoch": 8.255205552589429, + "grad_norm": 1.21875, + "learning_rate": 9.071234695381441e-05, + "loss": 5.441, + "mean_token_accuracy": 0.18804772496223449, + "num_tokens": 16926595.0, + "step": 7735 + }, + { + "entropy": 6.2513487339019775, + "epoch": 8.260544580886279, + "grad_norm": 1.2421875, + "learning_rate": 9.04701281492286e-05, + "loss": 5.3925, + "mean_token_accuracy": 0.20451612323522567, + "num_tokens": 16937612.0, + "step": 7740 + }, + { + "entropy": 6.253056144714355, + "epoch": 8.26588360918313, + "grad_norm": 1.1953125, + "learning_rate": 9.022856081363806e-05, + "loss": 5.377, + "mean_token_accuracy": 0.1940850868821144, + "num_tokens": 16948734.0, + "step": 7745 + }, + { + "entropy": 6.265314435958862, + "epoch": 8.271222637479978, + "grad_norm": 1.0546875, + "learning_rate": 8.998764579987823e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.1988656148314476, + "num_tokens": 16961310.0, + "step": 7750 + }, + { + "entropy": 6.3020031452178955, + "epoch": 8.276561665776828, + "grad_norm": 1.3515625, + "learning_rate": 8.974738395848171e-05, + "loss": 5.3774, + "mean_token_accuracy": 0.19321369230747223, + "num_tokens": 16971196.0, + "step": 7755 + }, + { + "entropy": 6.257359170913697, + "epoch": 8.281900694073679, + "grad_norm": 1.0078125, + "learning_rate": 8.950777613767508e-05, + "loss": 5.4115, + "mean_token_accuracy": 0.19390098601579667, + "num_tokens": 16983424.0, + "step": 7760 + }, + { + "entropy": 6.257221746444702, + "epoch": 8.28723972237053, + "grad_norm": 1.234375, + "learning_rate": 8.926882318337586e-05, + "loss": 5.301, + "mean_token_accuracy": 0.19741829335689545, + "num_tokens": 16994389.0, + "step": 7765 + }, + { + "entropy": 6.277281904220581, + "epoch": 8.292578750667378, + "grad_norm": 1.2109375, + "learning_rate": 8.903052593918979e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.1859165444970131, + "num_tokens": 17006239.0, + "step": 7770 + }, + { + "entropy": 6.239947509765625, + "epoch": 8.297917778964228, + "grad_norm": 1.1953125, + "learning_rate": 8.879288524640747e-05, + "loss": 5.3851, + "mean_token_accuracy": 0.18899611085653306, + "num_tokens": 17018648.0, + "step": 7775 + }, + { + "entropy": 6.286568927764892, + "epoch": 8.303256807261079, + "grad_norm": 1.2109375, + "learning_rate": 8.855590194400182e-05, + "loss": 5.4784, + "mean_token_accuracy": 0.18599783927202224, + "num_tokens": 17028965.0, + "step": 7780 + }, + { + "entropy": 6.27871527671814, + "epoch": 8.308595835557929, + "grad_norm": 1.3515625, + "learning_rate": 8.83195768686247e-05, + "loss": 5.4402, + "mean_token_accuracy": 0.18707661628723143, + "num_tokens": 17039432.0, + "step": 7785 + }, + { + "entropy": 6.333696699142456, + "epoch": 8.313934863854778, + "grad_norm": 1.15625, + "learning_rate": 8.808391085460424e-05, + "loss": 5.4866, + "mean_token_accuracy": 0.19333939999341965, + "num_tokens": 17050931.0, + "step": 7790 + }, + { + "entropy": 6.309759092330933, + "epoch": 8.319273892151628, + "grad_norm": 1.1953125, + "learning_rate": 8.784890473394173e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19778697490692138, + "num_tokens": 17062665.0, + "step": 7795 + }, + { + "entropy": 6.358693599700928, + "epoch": 8.324612920448478, + "grad_norm": 1.046875, + "learning_rate": 8.761455933630891e-05, + "loss": 5.4792, + "mean_token_accuracy": 0.18731221705675125, + "num_tokens": 17074008.0, + "step": 7800 + }, + { + "entropy": 6.290230798721313, + "epoch": 8.329951948745329, + "grad_norm": 1.203125, + "learning_rate": 8.738087548904467e-05, + "loss": 5.426, + "mean_token_accuracy": 0.18245502561330795, + "num_tokens": 17084541.0, + "step": 7805 + }, + { + "entropy": 6.289392805099487, + "epoch": 8.335290977042177, + "grad_norm": 1.2265625, + "learning_rate": 8.714785401715258e-05, + "loss": 5.4459, + "mean_token_accuracy": 0.1914304554462433, + "num_tokens": 17095094.0, + "step": 7810 + }, + { + "entropy": 6.31272611618042, + "epoch": 8.340630005339028, + "grad_norm": 1.1640625, + "learning_rate": 8.691549574329752e-05, + "loss": 5.4214, + "mean_token_accuracy": 0.19288700073957443, + "num_tokens": 17105985.0, + "step": 7815 + }, + { + "entropy": 6.292475700378418, + "epoch": 8.345969033635878, + "grad_norm": 1.234375, + "learning_rate": 8.668380148780319e-05, + "loss": 5.4225, + "mean_token_accuracy": 0.18336446732282638, + "num_tokens": 17116016.0, + "step": 7820 + }, + { + "entropy": 6.247875785827636, + "epoch": 8.351308061932729, + "grad_norm": 1.171875, + "learning_rate": 8.64527720686489e-05, + "loss": 5.4281, + "mean_token_accuracy": 0.19529077261686326, + "num_tokens": 17126484.0, + "step": 7825 + }, + { + "entropy": 6.305013608932495, + "epoch": 8.356647090229579, + "grad_norm": 1.25, + "learning_rate": 8.62224083014668e-05, + "loss": 5.4798, + "mean_token_accuracy": 0.19113296419382095, + "num_tokens": 17138108.0, + "step": 7830 + }, + { + "entropy": 6.316189479827881, + "epoch": 8.361986118526428, + "grad_norm": 1.1796875, + "learning_rate": 8.599271099953912e-05, + "loss": 5.4076, + "mean_token_accuracy": 0.1995265394449234, + "num_tokens": 17149224.0, + "step": 7835 + }, + { + "entropy": 6.284372425079345, + "epoch": 8.367325146823278, + "grad_norm": 1.234375, + "learning_rate": 8.576368097379502e-05, + "loss": 5.4442, + "mean_token_accuracy": 0.1908060133457184, + "num_tokens": 17161156.0, + "step": 7840 + }, + { + "entropy": 6.338185119628906, + "epoch": 8.372664175120129, + "grad_norm": 1.3359375, + "learning_rate": 8.553531903280815e-05, + "loss": 5.4417, + "mean_token_accuracy": 0.19008296579122544, + "num_tokens": 17171528.0, + "step": 7845 + }, + { + "entropy": 6.336772871017456, + "epoch": 8.378003203416979, + "grad_norm": 1.125, + "learning_rate": 8.530762598279318e-05, + "loss": 5.5014, + "mean_token_accuracy": 0.18084470331668853, + "num_tokens": 17181784.0, + "step": 7850 + }, + { + "entropy": 6.286856937408447, + "epoch": 8.383342231713828, + "grad_norm": 1.1171875, + "learning_rate": 8.508060262760353e-05, + "loss": 5.3487, + "mean_token_accuracy": 0.20462595373392106, + "num_tokens": 17192988.0, + "step": 7855 + }, + { + "entropy": 6.279626417160034, + "epoch": 8.388681260010678, + "grad_norm": 1.1484375, + "learning_rate": 8.485424976872835e-05, + "loss": 5.4212, + "mean_token_accuracy": 0.18943293690681456, + "num_tokens": 17203759.0, + "step": 7860 + }, + { + "entropy": 6.281919240951538, + "epoch": 8.394020288307528, + "grad_norm": 1.2421875, + "learning_rate": 8.46285682052895e-05, + "loss": 5.377, + "mean_token_accuracy": 0.20012870728969573, + "num_tokens": 17213768.0, + "step": 7865 + }, + { + "entropy": 6.262228155136109, + "epoch": 8.399359316604379, + "grad_norm": 1.15625, + "learning_rate": 8.44035587340391e-05, + "loss": 5.4503, + "mean_token_accuracy": 0.19287367165088654, + "num_tokens": 17225550.0, + "step": 7870 + }, + { + "entropy": 6.332665014266968, + "epoch": 8.404698344901227, + "grad_norm": 1.1796875, + "learning_rate": 8.417922214935621e-05, + "loss": 5.462, + "mean_token_accuracy": 0.18738492280244828, + "num_tokens": 17235969.0, + "step": 7875 + }, + { + "entropy": 6.258744144439698, + "epoch": 8.410037373198078, + "grad_norm": 1.2109375, + "learning_rate": 8.395555924324457e-05, + "loss": 5.3671, + "mean_token_accuracy": 0.20065730661153794, + "num_tokens": 17247529.0, + "step": 7880 + }, + { + "entropy": 6.278067016601563, + "epoch": 8.415376401494928, + "grad_norm": 1.109375, + "learning_rate": 8.37325708053294e-05, + "loss": 5.4302, + "mean_token_accuracy": 0.19352214634418488, + "num_tokens": 17258971.0, + "step": 7885 + }, + { + "entropy": 6.2095043659210205, + "epoch": 8.420715429791779, + "grad_norm": 1.421875, + "learning_rate": 8.35102576228548e-05, + "loss": 5.3371, + "mean_token_accuracy": 0.20132233202457428, + "num_tokens": 17271281.0, + "step": 7890 + }, + { + "entropy": 6.227483892440796, + "epoch": 8.426054458088627, + "grad_norm": 1.34375, + "learning_rate": 8.328862048068089e-05, + "loss": 5.3125, + "mean_token_accuracy": 0.19799865186214446, + "num_tokens": 17281419.0, + "step": 7895 + }, + { + "entropy": 6.268981170654297, + "epoch": 8.431393486385478, + "grad_norm": 1.078125, + "learning_rate": 8.306766016128125e-05, + "loss": 5.37, + "mean_token_accuracy": 0.19525525271892546, + "num_tokens": 17292867.0, + "step": 7900 + }, + { + "entropy": 6.299656820297241, + "epoch": 8.436732514682328, + "grad_norm": 1.3125, + "learning_rate": 8.284737744473972e-05, + "loss": 5.426, + "mean_token_accuracy": 0.19533834755420684, + "num_tokens": 17303565.0, + "step": 7905 + }, + { + "entropy": 6.247980737686158, + "epoch": 8.442071542979178, + "grad_norm": 1.2265625, + "learning_rate": 8.26277731087482e-05, + "loss": 5.3546, + "mean_token_accuracy": 0.18990732878446578, + "num_tokens": 17315107.0, + "step": 7910 + }, + { + "entropy": 6.323516082763672, + "epoch": 8.447410571276027, + "grad_norm": 1.1796875, + "learning_rate": 8.240884792860336e-05, + "loss": 5.4517, + "mean_token_accuracy": 0.18722765147686005, + "num_tokens": 17326606.0, + "step": 7915 + }, + { + "entropy": 6.2622026920318605, + "epoch": 8.452749599572877, + "grad_norm": 1.09375, + "learning_rate": 8.219060267720427e-05, + "loss": 5.4435, + "mean_token_accuracy": 0.18907711058855056, + "num_tokens": 17337503.0, + "step": 7920 + }, + { + "entropy": 6.281539106369019, + "epoch": 8.458088627869728, + "grad_norm": 1.25, + "learning_rate": 8.197303812504968e-05, + "loss": 5.3781, + "mean_token_accuracy": 0.19827369153499602, + "num_tokens": 17347697.0, + "step": 7925 + }, + { + "entropy": 6.314615678787232, + "epoch": 8.463427656166578, + "grad_norm": 1.15625, + "learning_rate": 8.175615504023494e-05, + "loss": 5.5319, + "mean_token_accuracy": 0.17755035161972046, + "num_tokens": 17359656.0, + "step": 7930 + }, + { + "entropy": 6.286178731918335, + "epoch": 8.468766684463427, + "grad_norm": 1.265625, + "learning_rate": 8.153995418844974e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.191170571744442, + "num_tokens": 17370869.0, + "step": 7935 + }, + { + "entropy": 6.290740489959717, + "epoch": 8.474105712760277, + "grad_norm": 1.2109375, + "learning_rate": 8.132443633297508e-05, + "loss": 5.3663, + "mean_token_accuracy": 0.20106685310602188, + "num_tokens": 17380716.0, + "step": 7940 + }, + { + "entropy": 6.300388383865356, + "epoch": 8.479444741057128, + "grad_norm": 1.2265625, + "learning_rate": 8.110960223468077e-05, + "loss": 5.4171, + "mean_token_accuracy": 0.1983788177371025, + "num_tokens": 17392012.0, + "step": 7945 + }, + { + "entropy": 6.256002759933471, + "epoch": 8.484783769353978, + "grad_norm": 1.09375, + "learning_rate": 8.089545265202258e-05, + "loss": 5.3892, + "mean_token_accuracy": 0.19373163133859633, + "num_tokens": 17403199.0, + "step": 7950 + }, + { + "entropy": 6.30955057144165, + "epoch": 8.490122797650827, + "grad_norm": 1.21875, + "learning_rate": 8.068198834103967e-05, + "loss": 5.4173, + "mean_token_accuracy": 0.19167587906122208, + "num_tokens": 17414020.0, + "step": 7955 + }, + { + "entropy": 6.248732852935791, + "epoch": 8.495461825947677, + "grad_norm": 1.3359375, + "learning_rate": 8.046921005535198e-05, + "loss": 5.4111, + "mean_token_accuracy": 0.19576088786125184, + "num_tokens": 17425460.0, + "step": 7960 + }, + { + "entropy": 6.26835789680481, + "epoch": 8.500800854244527, + "grad_norm": 1.1015625, + "learning_rate": 8.02571185461574e-05, + "loss": 5.3683, + "mean_token_accuracy": 0.19737352728843688, + "num_tokens": 17435819.0, + "step": 7965 + }, + { + "entropy": 6.298630714416504, + "epoch": 8.506139882541378, + "grad_norm": 1.3125, + "learning_rate": 8.004571456222928e-05, + "loss": 5.4343, + "mean_token_accuracy": 0.1900707334280014, + "num_tokens": 17446000.0, + "step": 7970 + }, + { + "entropy": 6.339548397064209, + "epoch": 8.511478910838228, + "grad_norm": 1.1171875, + "learning_rate": 7.983499884991356e-05, + "loss": 5.4799, + "mean_token_accuracy": 0.18726177364587784, + "num_tokens": 17456986.0, + "step": 7975 + }, + { + "entropy": 6.317312383651734, + "epoch": 8.516817939135077, + "grad_norm": 1.2734375, + "learning_rate": 7.962497215312662e-05, + "loss": 5.4299, + "mean_token_accuracy": 0.19350540190935134, + "num_tokens": 17467144.0, + "step": 7980 + }, + { + "entropy": 6.330316781997681, + "epoch": 8.522156967431927, + "grad_norm": 1.21875, + "learning_rate": 7.94156352133518e-05, + "loss": 5.4731, + "mean_token_accuracy": 0.1904843494296074, + "num_tokens": 17479243.0, + "step": 7985 + }, + { + "entropy": 6.309084367752075, + "epoch": 8.527495995728778, + "grad_norm": 1.1875, + "learning_rate": 7.920698876963784e-05, + "loss": 5.3797, + "mean_token_accuracy": 0.19125119149684905, + "num_tokens": 17490447.0, + "step": 7990 + }, + { + "entropy": 6.285092973709107, + "epoch": 8.532835024025628, + "grad_norm": 1.2109375, + "learning_rate": 7.899903355859534e-05, + "loss": 5.4727, + "mean_token_accuracy": 0.18608825355768205, + "num_tokens": 17500464.0, + "step": 7995 + }, + { + "entropy": 6.267555618286133, + "epoch": 8.538174052322477, + "grad_norm": 1.5546875, + "learning_rate": 7.879177031439487e-05, + "loss": 5.4077, + "mean_token_accuracy": 0.1957908973097801, + "num_tokens": 17510189.0, + "step": 8000 + }, + { + "epoch": 8.538174052322477, + "eval_entropy": 6.129665725262134, + "eval_loss": 6.549795627593994, + "eval_mean_token_accuracy": 0.13511817216292604, + "eval_num_tokens": 17510189.0, + "eval_runtime": 1.8063, + "eval_samples_per_second": 1705.136, + "eval_steps_per_second": 213.142, + "step": 8000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3805327149926400.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-8000/training_args.bin b/checkpoint-8000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-8000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-8500/added_tokens.json b/checkpoint-8500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-8500/config.json b/checkpoint-8500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-8500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-8500/generation_config.json b/checkpoint-8500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-8500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8500/model.safetensors b/checkpoint-8500/model.safetensors new file mode 100644 index 0000000..1e3dac6 --- /dev/null +++ b/checkpoint-8500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b87fd2acd0ff528b63965985c969859eab2eabf021551a25df25ece4e986a599 +size 78179408 diff --git a/checkpoint-8500/rng_state.pth b/checkpoint-8500/rng_state.pth new file mode 100644 index 0000000..c12f1e9 --- /dev/null +++ b/checkpoint-8500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf73f44fd12078edae795fa4439ee40fcc4edd895e84ea40456a1480f718f151 +size 14645 diff --git a/checkpoint-8500/special_tokens_map.json b/checkpoint-8500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-8500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-8500/spiece.model b/checkpoint-8500/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-8500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-8500/tokenizer_config.json b/checkpoint-8500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-8500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8500/trainer_state.json b/checkpoint-8500/trainer_state.json new file mode 100644 index 0000000..fdee8db --- /dev/null +++ b/checkpoint-8500/trainer_state.json @@ -0,0 +1,17221 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.07154297917779, + "eval_steps": 500, + "global_step": 8500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + }, + { + "entropy": 6.271717882156372, + "epoch": 6.942872397223705, + "grad_norm": 1.125, + "learning_rate": 0.00016761451107534249, + "loss": 5.5262, + "mean_token_accuracy": 0.19075504094362258, + "num_tokens": 14241584.0, + "step": 6505 + }, + { + "entropy": 6.278272104263306, + "epoch": 6.948211425520555, + "grad_norm": 1.1640625, + "learning_rate": 0.00016724319549474534, + "loss": 5.5543, + "mean_token_accuracy": 0.19189462959766387, + "num_tokens": 14252571.0, + "step": 6510 + }, + { + "entropy": 6.322755002975464, + "epoch": 6.953550453817405, + "grad_norm": 1.1796875, + "learning_rate": 0.00016687226034153624, + "loss": 5.6389, + "mean_token_accuracy": 0.17759112566709517, + "num_tokens": 14263470.0, + "step": 6515 + }, + { + "entropy": 6.299075269699097, + "epoch": 6.958889482114255, + "grad_norm": 1.1640625, + "learning_rate": 0.00016650170692527407, + "loss": 5.5459, + "mean_token_accuracy": 0.1799885153770447, + "num_tokens": 14274241.0, + "step": 6520 + }, + { + "entropy": 6.338451814651489, + "epoch": 6.964228510411105, + "grad_norm": 1.234375, + "learning_rate": 0.0001661315365541702, + "loss": 5.5802, + "mean_token_accuracy": 0.1735849931836128, + "num_tokens": 14284542.0, + "step": 6525 + }, + { + "entropy": 6.280116224288941, + "epoch": 6.969567538707955, + "grad_norm": 1.09375, + "learning_rate": 0.00016576175053508357, + "loss": 5.5888, + "mean_token_accuracy": 0.1822688788175583, + "num_tokens": 14295504.0, + "step": 6530 + }, + { + "entropy": 6.25789065361023, + "epoch": 6.974906567004805, + "grad_norm": 1.1796875, + "learning_rate": 0.00016539235017351634, + "loss": 5.571, + "mean_token_accuracy": 0.18007161021232604, + "num_tokens": 14306575.0, + "step": 6535 + }, + { + "entropy": 6.347195148468018, + "epoch": 6.980245595301655, + "grad_norm": 1.3125, + "learning_rate": 0.00016502333677360887, + "loss": 5.5981, + "mean_token_accuracy": 0.17393214553594588, + "num_tokens": 14316677.0, + "step": 6540 + }, + { + "entropy": 6.3871876239776615, + "epoch": 6.9855846235985055, + "grad_norm": 1.1640625, + "learning_rate": 0.00016465471163813576, + "loss": 5.5593, + "mean_token_accuracy": 0.18010709881782533, + "num_tokens": 14327027.0, + "step": 6545 + }, + { + "entropy": 6.316414451599121, + "epoch": 6.990923651895355, + "grad_norm": 1.0390625, + "learning_rate": 0.00016428647606850033, + "loss": 5.5865, + "mean_token_accuracy": 0.18866724222898484, + "num_tokens": 14338771.0, + "step": 6550 + }, + { + "entropy": 6.340197610855102, + "epoch": 6.9962626801922045, + "grad_norm": 1.25, + "learning_rate": 0.00016391863136473118, + "loss": 5.5756, + "mean_token_accuracy": 0.17773306369781494, + "num_tokens": 14350028.0, + "step": 6555 + }, + { + "entropy": 6.26469612121582, + "epoch": 7.00106780565937, + "grad_norm": 1.0703125, + "learning_rate": 0.0001635511788254765, + "loss": 5.5193, + "mean_token_accuracy": 0.18587267564402687, + "num_tokens": 14359688.0, + "step": 6560 + }, + { + "entropy": 6.269435834884644, + "epoch": 7.00640683395622, + "grad_norm": 1.21875, + "learning_rate": 0.00016318411974800025, + "loss": 5.4091, + "mean_token_accuracy": 0.18694305717945098, + "num_tokens": 14369892.0, + "step": 6565 + }, + { + "entropy": 6.2558362007141115, + "epoch": 7.01174586225307, + "grad_norm": 1.078125, + "learning_rate": 0.00016281745542817716, + "loss": 5.3584, + "mean_token_accuracy": 0.192064106464386, + "num_tokens": 14381383.0, + "step": 6570 + }, + { + "entropy": 6.297444868087768, + "epoch": 7.01708489054992, + "grad_norm": 1.1640625, + "learning_rate": 0.0001624511871604884, + "loss": 5.4562, + "mean_token_accuracy": 0.192567777633667, + "num_tokens": 14391590.0, + "step": 6575 + }, + { + "entropy": 6.312979078292846, + "epoch": 7.02242391884677, + "grad_norm": 1.1640625, + "learning_rate": 0.00016208531623801702, + "loss": 5.3939, + "mean_token_accuracy": 0.1895030602812767, + "num_tokens": 14402345.0, + "step": 6580 + }, + { + "entropy": 6.3703536033630375, + "epoch": 7.02776294714362, + "grad_norm": 1.2421875, + "learning_rate": 0.00016171984395244276, + "loss": 5.4881, + "mean_token_accuracy": 0.18503127098083497, + "num_tokens": 14412769.0, + "step": 6585 + }, + { + "entropy": 6.305860710144043, + "epoch": 7.03310197544047, + "grad_norm": 1.21875, + "learning_rate": 0.00016135477159403866, + "loss": 5.4148, + "mean_token_accuracy": 0.2001012980937958, + "num_tokens": 14424509.0, + "step": 6590 + }, + { + "entropy": 6.392051410675049, + "epoch": 7.0384410037373195, + "grad_norm": 1.1015625, + "learning_rate": 0.00016099010045166537, + "loss": 5.5376, + "mean_token_accuracy": 0.18047535121440889, + "num_tokens": 14435189.0, + "step": 6595 + }, + { + "entropy": 6.353335762023926, + "epoch": 7.04378003203417, + "grad_norm": 1.140625, + "learning_rate": 0.0001606258318127674, + "loss": 5.5095, + "mean_token_accuracy": 0.1861751824617386, + "num_tokens": 14445676.0, + "step": 6600 + }, + { + "entropy": 6.348418712615967, + "epoch": 7.049119060331019, + "grad_norm": 1.25, + "learning_rate": 0.00016026196696336786, + "loss": 5.4904, + "mean_token_accuracy": 0.1838784009218216, + "num_tokens": 14456848.0, + "step": 6605 + }, + { + "entropy": 6.287606906890869, + "epoch": 7.05445808862787, + "grad_norm": 1.0390625, + "learning_rate": 0.00015989850718806483, + "loss": 5.4332, + "mean_token_accuracy": 0.18585668951272966, + "num_tokens": 14468939.0, + "step": 6610 + }, + { + "entropy": 6.322085952758789, + "epoch": 7.059797116924719, + "grad_norm": 1.265625, + "learning_rate": 0.00015953545377002593, + "loss": 5.5085, + "mean_token_accuracy": 0.18388541787862778, + "num_tokens": 14480341.0, + "step": 6615 + }, + { + "entropy": 6.3109293460845945, + "epoch": 7.06513614522157, + "grad_norm": 1.078125, + "learning_rate": 0.00015917280799098414, + "loss": 5.4129, + "mean_token_accuracy": 0.19869672060012816, + "num_tokens": 14491517.0, + "step": 6620 + }, + { + "entropy": 6.279620122909546, + "epoch": 7.070475173518419, + "grad_norm": 1.0546875, + "learning_rate": 0.0001588105711312336, + "loss": 5.4366, + "mean_token_accuracy": 0.18694413006305693, + "num_tokens": 14504351.0, + "step": 6625 + }, + { + "entropy": 6.318189525604248, + "epoch": 7.07581420181527, + "grad_norm": 1.0625, + "learning_rate": 0.00015844874446962448, + "loss": 5.5338, + "mean_token_accuracy": 0.18216532617807388, + "num_tokens": 14516431.0, + "step": 6630 + }, + { + "entropy": 6.295264530181885, + "epoch": 7.081153230112119, + "grad_norm": 1.09375, + "learning_rate": 0.000158087329283559, + "loss": 5.3816, + "mean_token_accuracy": 0.19511567950248718, + "num_tokens": 14527248.0, + "step": 6635 + }, + { + "entropy": 6.3042511463165285, + "epoch": 7.08649225840897, + "grad_norm": 1.25, + "learning_rate": 0.00015772632684898653, + "loss": 5.4665, + "mean_token_accuracy": 0.18800214529037476, + "num_tokens": 14538380.0, + "step": 6640 + }, + { + "entropy": 6.314582014083863, + "epoch": 7.09183128670582, + "grad_norm": 1.171875, + "learning_rate": 0.00015736573844039953, + "loss": 5.4482, + "mean_token_accuracy": 0.18293119072914124, + "num_tokens": 14549710.0, + "step": 6645 + }, + { + "entropy": 6.282787704467774, + "epoch": 7.0971703150026695, + "grad_norm": 1.171875, + "learning_rate": 0.00015700556533082826, + "loss": 5.4284, + "mean_token_accuracy": 0.1919356808066368, + "num_tokens": 14560623.0, + "step": 6650 + }, + { + "entropy": 6.293274068832398, + "epoch": 7.10250934329952, + "grad_norm": 1.140625, + "learning_rate": 0.00015664580879183737, + "loss": 5.5054, + "mean_token_accuracy": 0.1837783768773079, + "num_tokens": 14570816.0, + "step": 6655 + }, + { + "entropy": 6.316432905197144, + "epoch": 7.107848371596369, + "grad_norm": 1.1953125, + "learning_rate": 0.00015628647009352037, + "loss": 5.4329, + "mean_token_accuracy": 0.18765368163585663, + "num_tokens": 14582014.0, + "step": 6660 + }, + { + "entropy": 6.275792598724365, + "epoch": 7.11318739989322, + "grad_norm": 1.234375, + "learning_rate": 0.00015592755050449603, + "loss": 5.3662, + "mean_token_accuracy": 0.19992139488458632, + "num_tokens": 14592100.0, + "step": 6665 + }, + { + "entropy": 6.173001956939697, + "epoch": 7.118526428190069, + "grad_norm": 1.0859375, + "learning_rate": 0.00015556905129190309, + "loss": 5.3337, + "mean_token_accuracy": 0.20151432305574418, + "num_tokens": 14603894.0, + "step": 6670 + }, + { + "entropy": 6.229399871826172, + "epoch": 7.12386545648692, + "grad_norm": 1.0703125, + "learning_rate": 0.00015521097372139654, + "loss": 5.3648, + "mean_token_accuracy": 0.19738561660051346, + "num_tokens": 14614697.0, + "step": 6675 + }, + { + "entropy": 6.316095399856567, + "epoch": 7.129204484783769, + "grad_norm": 1.25, + "learning_rate": 0.00015485331905714257, + "loss": 5.3925, + "mean_token_accuracy": 0.19631152153015136, + "num_tokens": 14624302.0, + "step": 6680 + }, + { + "entropy": 6.291509103775025, + "epoch": 7.13454351308062, + "grad_norm": 1.28125, + "learning_rate": 0.00015449608856181422, + "loss": 5.4087, + "mean_token_accuracy": 0.19371372908353807, + "num_tokens": 14635081.0, + "step": 6685 + }, + { + "entropy": 6.264547395706177, + "epoch": 7.139882541377469, + "grad_norm": 1.125, + "learning_rate": 0.00015413928349658745, + "loss": 5.3872, + "mean_token_accuracy": 0.2043850302696228, + "num_tokens": 14645817.0, + "step": 6690 + }, + { + "entropy": 6.287539434432984, + "epoch": 7.1452215696743195, + "grad_norm": 1.203125, + "learning_rate": 0.0001537829051211358, + "loss": 5.4525, + "mean_token_accuracy": 0.1920837566256523, + "num_tokens": 14656442.0, + "step": 6695 + }, + { + "entropy": 6.278778505325318, + "epoch": 7.150560597971169, + "grad_norm": 1.1796875, + "learning_rate": 0.00015342695469362682, + "loss": 5.3925, + "mean_token_accuracy": 0.19858739972114564, + "num_tokens": 14666974.0, + "step": 6700 + }, + { + "entropy": 6.348932266235352, + "epoch": 7.1558996262680195, + "grad_norm": 1.1015625, + "learning_rate": 0.00015307143347071688, + "loss": 5.5826, + "mean_token_accuracy": 0.18329962342977524, + "num_tokens": 14677952.0, + "step": 6705 + }, + { + "entropy": 6.270998954772949, + "epoch": 7.161238654564869, + "grad_norm": 1.2265625, + "learning_rate": 0.0001527163427075474, + "loss": 5.4297, + "mean_token_accuracy": 0.19348912090063095, + "num_tokens": 14688858.0, + "step": 6710 + }, + { + "entropy": 6.274411296844482, + "epoch": 7.166577682861719, + "grad_norm": 1.1640625, + "learning_rate": 0.00015236168365773985, + "loss": 5.4505, + "mean_token_accuracy": 0.18570196628570557, + "num_tokens": 14699992.0, + "step": 6715 + }, + { + "entropy": 6.332328271865845, + "epoch": 7.171916711158569, + "grad_norm": 1.2734375, + "learning_rate": 0.00015200745757339149, + "loss": 5.4072, + "mean_token_accuracy": 0.19031400680541993, + "num_tokens": 14710720.0, + "step": 6720 + }, + { + "entropy": 6.32621431350708, + "epoch": 7.177255739455419, + "grad_norm": 1.2109375, + "learning_rate": 0.00015165366570507138, + "loss": 5.4728, + "mean_token_accuracy": 0.18544712662696838, + "num_tokens": 14721101.0, + "step": 6725 + }, + { + "entropy": 6.3247661113739015, + "epoch": 7.182594767752269, + "grad_norm": 1.203125, + "learning_rate": 0.00015130030930181527, + "loss": 5.4501, + "mean_token_accuracy": 0.19216947257518768, + "num_tokens": 14731428.0, + "step": 6730 + }, + { + "entropy": 6.322046327590942, + "epoch": 7.187933796049119, + "grad_norm": 1.09375, + "learning_rate": 0.0001509473896111218, + "loss": 5.4599, + "mean_token_accuracy": 0.18756082206964492, + "num_tokens": 14743419.0, + "step": 6735 + }, + { + "entropy": 6.281675624847412, + "epoch": 7.193272824345969, + "grad_norm": 1.0390625, + "learning_rate": 0.00015059490787894768, + "loss": 5.4847, + "mean_token_accuracy": 0.18561287969350815, + "num_tokens": 14756162.0, + "step": 6740 + }, + { + "entropy": 6.386045646667481, + "epoch": 7.198611852642819, + "grad_norm": 1.25, + "learning_rate": 0.0001502428653497034, + "loss": 5.5361, + "mean_token_accuracy": 0.18351231813430785, + "num_tokens": 14767264.0, + "step": 6745 + }, + { + "entropy": 6.404717302322387, + "epoch": 7.203950880939669, + "grad_norm": 1.375, + "learning_rate": 0.0001498912632662489, + "loss": 5.4631, + "mean_token_accuracy": 0.18551670759916306, + "num_tokens": 14778344.0, + "step": 6750 + }, + { + "entropy": 6.340229177474976, + "epoch": 7.209289909236519, + "grad_norm": 1.15625, + "learning_rate": 0.00014954010286988935, + "loss": 5.5307, + "mean_token_accuracy": 0.18180549144744873, + "num_tokens": 14790518.0, + "step": 6755 + }, + { + "entropy": 6.292685031890869, + "epoch": 7.2146289375333685, + "grad_norm": 1.3359375, + "learning_rate": 0.00014918938540037018, + "loss": 5.4807, + "mean_token_accuracy": 0.18915681540966034, + "num_tokens": 14801792.0, + "step": 6760 + }, + { + "entropy": 6.231640481948853, + "epoch": 7.219967965830219, + "grad_norm": 1.328125, + "learning_rate": 0.00014883911209587366, + "loss": 5.366, + "mean_token_accuracy": 0.20036828219890596, + "num_tokens": 14812259.0, + "step": 6765 + }, + { + "entropy": 6.258896732330323, + "epoch": 7.2253069941270684, + "grad_norm": 1.0859375, + "learning_rate": 0.0001484892841930134, + "loss": 5.4381, + "mean_token_accuracy": 0.19050138741731643, + "num_tokens": 14823858.0, + "step": 6770 + }, + { + "entropy": 6.2924394607543945, + "epoch": 7.230646022423919, + "grad_norm": 1.2265625, + "learning_rate": 0.000148139902926831, + "loss": 5.4068, + "mean_token_accuracy": 0.19775196760892869, + "num_tokens": 14834069.0, + "step": 6775 + }, + { + "entropy": 6.317218446731568, + "epoch": 7.235985050720769, + "grad_norm": 1.1953125, + "learning_rate": 0.00014779096953079096, + "loss": 5.4495, + "mean_token_accuracy": 0.19177347272634507, + "num_tokens": 14844998.0, + "step": 6780 + }, + { + "entropy": 6.294413757324219, + "epoch": 7.241324079017619, + "grad_norm": 1.078125, + "learning_rate": 0.00014744248523677658, + "loss": 5.5113, + "mean_token_accuracy": 0.18353998363018037, + "num_tokens": 14855997.0, + "step": 6785 + }, + { + "entropy": 6.298984670639038, + "epoch": 7.246663107314469, + "grad_norm": 1.2578125, + "learning_rate": 0.00014709445127508594, + "loss": 5.4684, + "mean_token_accuracy": 0.1885671928524971, + "num_tokens": 14866813.0, + "step": 6790 + }, + { + "entropy": 6.257570743560791, + "epoch": 7.252002135611319, + "grad_norm": 1.1875, + "learning_rate": 0.00014674686887442695, + "loss": 5.4425, + "mean_token_accuracy": 0.18660287111997603, + "num_tokens": 14877681.0, + "step": 6795 + }, + { + "entropy": 6.268080139160157, + "epoch": 7.257341163908169, + "grad_norm": 1.3515625, + "learning_rate": 0.00014639973926191353, + "loss": 5.5047, + "mean_token_accuracy": 0.18286219090223313, + "num_tokens": 14888896.0, + "step": 6800 + }, + { + "entropy": 6.3286150932312015, + "epoch": 7.262680192205019, + "grad_norm": 1.21875, + "learning_rate": 0.00014605306366306093, + "loss": 5.4721, + "mean_token_accuracy": 0.18981748819351196, + "num_tokens": 14899230.0, + "step": 6805 + }, + { + "entropy": 6.259786605834961, + "epoch": 7.268019220501869, + "grad_norm": 1.1796875, + "learning_rate": 0.00014570684330178152, + "loss": 5.4336, + "mean_token_accuracy": 0.1927536189556122, + "num_tokens": 14910726.0, + "step": 6810 + }, + { + "entropy": 6.311066293716431, + "epoch": 7.2733582487987185, + "grad_norm": 1.125, + "learning_rate": 0.00014536107940038063, + "loss": 5.4831, + "mean_token_accuracy": 0.18997626900672912, + "num_tokens": 14922464.0, + "step": 6815 + }, + { + "entropy": 6.3254467964172365, + "epoch": 7.278697277095569, + "grad_norm": 1.078125, + "learning_rate": 0.00014501577317955195, + "loss": 5.5114, + "mean_token_accuracy": 0.18482305705547333, + "num_tokens": 14932719.0, + "step": 6820 + }, + { + "entropy": 6.237675046920776, + "epoch": 7.284036305392418, + "grad_norm": 1.1640625, + "learning_rate": 0.00014467092585837348, + "loss": 5.3684, + "mean_token_accuracy": 0.1937697485089302, + "num_tokens": 14943497.0, + "step": 6825 + }, + { + "entropy": 6.2961009502410885, + "epoch": 7.289375333689269, + "grad_norm": 1.2734375, + "learning_rate": 0.000144326538654303, + "loss": 5.4553, + "mean_token_accuracy": 0.19217261373996736, + "num_tokens": 14953887.0, + "step": 6830 + }, + { + "entropy": 6.266338968276978, + "epoch": 7.294714361986118, + "grad_norm": 1.2734375, + "learning_rate": 0.00014398261278317405, + "loss": 5.4194, + "mean_token_accuracy": 0.1873815566301346, + "num_tokens": 14965193.0, + "step": 6835 + }, + { + "entropy": 6.252061939239502, + "epoch": 7.300053390282969, + "grad_norm": 1.1640625, + "learning_rate": 0.00014363914945919126, + "loss": 5.4351, + "mean_token_accuracy": 0.19088050872087478, + "num_tokens": 14976266.0, + "step": 6840 + }, + { + "entropy": 6.311152935028076, + "epoch": 7.305392418579818, + "grad_norm": 1.25, + "learning_rate": 0.0001432961498949263, + "loss": 5.4244, + "mean_token_accuracy": 0.19315261840820314, + "num_tokens": 14987993.0, + "step": 6845 + }, + { + "entropy": 6.3497191905975345, + "epoch": 7.310731446876669, + "grad_norm": 1.125, + "learning_rate": 0.0001429536153013137, + "loss": 5.4808, + "mean_token_accuracy": 0.18216035068035125, + "num_tokens": 14998445.0, + "step": 6850 + }, + { + "entropy": 6.271890926361084, + "epoch": 7.316070475173518, + "grad_norm": 1.3203125, + "learning_rate": 0.00014261154688764645, + "loss": 5.4611, + "mean_token_accuracy": 0.188706374168396, + "num_tokens": 15008788.0, + "step": 6855 + }, + { + "entropy": 6.2674929141998295, + "epoch": 7.321409503470369, + "grad_norm": 1.1484375, + "learning_rate": 0.00014226994586157148, + "loss": 5.4978, + "mean_token_accuracy": 0.184069262444973, + "num_tokens": 15020167.0, + "step": 6860 + }, + { + "entropy": 6.334926986694336, + "epoch": 7.326748531767218, + "grad_norm": 1.21875, + "learning_rate": 0.00014192881342908604, + "loss": 5.4803, + "mean_token_accuracy": 0.18917828649282456, + "num_tokens": 15031082.0, + "step": 6865 + }, + { + "entropy": 6.286368560791016, + "epoch": 7.3320875600640685, + "grad_norm": 1.0859375, + "learning_rate": 0.00014158815079453268, + "loss": 5.4412, + "mean_token_accuracy": 0.19314158707857132, + "num_tokens": 15041728.0, + "step": 6870 + }, + { + "entropy": 6.300330734252929, + "epoch": 7.337426588360918, + "grad_norm": 1.125, + "learning_rate": 0.00014124795916059548, + "loss": 5.4293, + "mean_token_accuracy": 0.19236666411161424, + "num_tokens": 15052131.0, + "step": 6875 + }, + { + "entropy": 6.248535871505737, + "epoch": 7.342765616657768, + "grad_norm": 1.34375, + "learning_rate": 0.00014090823972829586, + "loss": 5.3861, + "mean_token_accuracy": 0.19000423103570938, + "num_tokens": 15063377.0, + "step": 6880 + }, + { + "entropy": 6.272410345077515, + "epoch": 7.348104644954618, + "grad_norm": 1.125, + "learning_rate": 0.00014056899369698785, + "loss": 5.387, + "mean_token_accuracy": 0.19852375388145446, + "num_tokens": 15073808.0, + "step": 6885 + }, + { + "entropy": 6.3073197364807125, + "epoch": 7.353443673251468, + "grad_norm": 1.2265625, + "learning_rate": 0.0001402302222643545, + "loss": 5.4592, + "mean_token_accuracy": 0.1940150499343872, + "num_tokens": 15084409.0, + "step": 6890 + }, + { + "entropy": 6.310897445678711, + "epoch": 7.358782701548318, + "grad_norm": 1.359375, + "learning_rate": 0.00013989192662640306, + "loss": 5.4773, + "mean_token_accuracy": 0.18742646425962448, + "num_tokens": 15094861.0, + "step": 6895 + }, + { + "entropy": 6.303181982040405, + "epoch": 7.364121729845168, + "grad_norm": 1.125, + "learning_rate": 0.0001395541079774612, + "loss": 5.4783, + "mean_token_accuracy": 0.18808880746364592, + "num_tokens": 15104939.0, + "step": 6900 + }, + { + "entropy": 6.226565361022949, + "epoch": 7.369460758142019, + "grad_norm": 1.140625, + "learning_rate": 0.00013921676751017255, + "loss": 5.365, + "mean_token_accuracy": 0.19940806925296783, + "num_tokens": 15115243.0, + "step": 6905 + }, + { + "entropy": 6.267017602920532, + "epoch": 7.374799786438868, + "grad_norm": 1.171875, + "learning_rate": 0.00013887990641549245, + "loss": 5.4636, + "mean_token_accuracy": 0.18399228155612946, + "num_tokens": 15127363.0, + "step": 6910 + }, + { + "entropy": 6.279464530944824, + "epoch": 7.380138814735718, + "grad_norm": 1.2109375, + "learning_rate": 0.00013854352588268408, + "loss": 5.3497, + "mean_token_accuracy": 0.19327647387981414, + "num_tokens": 15138128.0, + "step": 6915 + }, + { + "entropy": 6.303591060638428, + "epoch": 7.385477843032568, + "grad_norm": 1.2265625, + "learning_rate": 0.0001382076270993138, + "loss": 5.5058, + "mean_token_accuracy": 0.1778939798474312, + "num_tokens": 15148911.0, + "step": 6920 + }, + { + "entropy": 6.257078218460083, + "epoch": 7.3908168713294184, + "grad_norm": 1.140625, + "learning_rate": 0.0001378722112512474, + "loss": 5.4458, + "mean_token_accuracy": 0.18303258419036866, + "num_tokens": 15159564.0, + "step": 6925 + }, + { + "entropy": 6.266393041610717, + "epoch": 7.396155899626268, + "grad_norm": 1.1875, + "learning_rate": 0.0001375372795226455, + "loss": 5.4699, + "mean_token_accuracy": 0.1912732571363449, + "num_tokens": 15170536.0, + "step": 6930 + }, + { + "entropy": 6.302108573913574, + "epoch": 7.401494927923118, + "grad_norm": 1.21875, + "learning_rate": 0.00013720283309595987, + "loss": 5.463, + "mean_token_accuracy": 0.19185779988765717, + "num_tokens": 15181242.0, + "step": 6935 + }, + { + "entropy": 6.343116331100464, + "epoch": 7.406833956219968, + "grad_norm": 1.1171875, + "learning_rate": 0.00013686887315192842, + "loss": 5.4834, + "mean_token_accuracy": 0.18818345814943313, + "num_tokens": 15192873.0, + "step": 6940 + }, + { + "entropy": 6.30702543258667, + "epoch": 7.412172984516818, + "grad_norm": 1.1328125, + "learning_rate": 0.00013653540086957218, + "loss": 5.4501, + "mean_token_accuracy": 0.19412994533777236, + "num_tokens": 15204059.0, + "step": 6945 + }, + { + "entropy": 6.3180159568786625, + "epoch": 7.417512012813668, + "grad_norm": 1.1328125, + "learning_rate": 0.0001362024174261901, + "loss": 5.5063, + "mean_token_accuracy": 0.18488460928201675, + "num_tokens": 15214435.0, + "step": 6950 + }, + { + "entropy": 6.308865594863891, + "epoch": 7.422851041110518, + "grad_norm": 1.1484375, + "learning_rate": 0.0001358699239973556, + "loss": 5.4797, + "mean_token_accuracy": 0.1889624461531639, + "num_tokens": 15225514.0, + "step": 6955 + }, + { + "entropy": 6.288485956192017, + "epoch": 7.428190069407368, + "grad_norm": 1.2421875, + "learning_rate": 0.0001355379217569119, + "loss": 5.373, + "mean_token_accuracy": 0.19830633103847503, + "num_tokens": 15236329.0, + "step": 6960 + }, + { + "entropy": 6.25889835357666, + "epoch": 7.433529097704218, + "grad_norm": 1.265625, + "learning_rate": 0.00013520641187696834, + "loss": 5.3872, + "mean_token_accuracy": 0.19201608002185822, + "num_tokens": 15246239.0, + "step": 6965 + }, + { + "entropy": 6.273760986328125, + "epoch": 7.438868126001068, + "grad_norm": 1.109375, + "learning_rate": 0.00013487539552789585, + "loss": 5.4801, + "mean_token_accuracy": 0.19855868369340895, + "num_tokens": 15258107.0, + "step": 6970 + }, + { + "entropy": 6.29157280921936, + "epoch": 7.444207154297918, + "grad_norm": 1.1796875, + "learning_rate": 0.00013454487387832298, + "loss": 5.4118, + "mean_token_accuracy": 0.18662227392196656, + "num_tokens": 15269494.0, + "step": 6975 + }, + { + "entropy": 6.361139106750488, + "epoch": 7.4495461825947675, + "grad_norm": 1.25, + "learning_rate": 0.00013421484809513195, + "loss": 5.5343, + "mean_token_accuracy": 0.17982688099145888, + "num_tokens": 15280847.0, + "step": 6980 + }, + { + "entropy": 6.348047399520874, + "epoch": 7.454885210891618, + "grad_norm": 1.4140625, + "learning_rate": 0.00013388531934345417, + "loss": 5.4806, + "mean_token_accuracy": 0.18755375295877458, + "num_tokens": 15291602.0, + "step": 6985 + }, + { + "entropy": 6.304960441589356, + "epoch": 7.460224239188467, + "grad_norm": 1.203125, + "learning_rate": 0.00013355628878666654, + "loss": 5.4256, + "mean_token_accuracy": 0.1935595080256462, + "num_tokens": 15302346.0, + "step": 6990 + }, + { + "entropy": 6.280840587615967, + "epoch": 7.465563267485318, + "grad_norm": 1.2265625, + "learning_rate": 0.00013322775758638675, + "loss": 5.4369, + "mean_token_accuracy": 0.19602899849414826, + "num_tokens": 15313721.0, + "step": 6995 + }, + { + "entropy": 6.242779636383057, + "epoch": 7.470902295782167, + "grad_norm": 1.25, + "learning_rate": 0.0001328997269024701, + "loss": 5.4481, + "mean_token_accuracy": 0.1883457660675049, + "num_tokens": 15325088.0, + "step": 7000 + }, + { + "epoch": 7.470902295782167, + "eval_entropy": 6.113379762079808, + "eval_loss": 6.547084331512451, + "eval_mean_token_accuracy": 0.13488195277266687, + "eval_num_tokens": 15325088.0, + "eval_runtime": 1.8116, + "eval_samples_per_second": 1700.127, + "eval_steps_per_second": 212.516, + "step": 7000 + }, + { + "entropy": 6.287962102890015, + "epoch": 7.476241324079018, + "grad_norm": 1.1640625, + "learning_rate": 0.00013257219789300417, + "loss": 5.48, + "mean_token_accuracy": 0.19072551280260086, + "num_tokens": 15335527.0, + "step": 7005 + }, + { + "entropy": 6.238534307479858, + "epoch": 7.481580352375867, + "grad_norm": 1.1640625, + "learning_rate": 0.000132245171714306, + "loss": 5.3978, + "mean_token_accuracy": 0.19542142897844314, + "num_tokens": 15347574.0, + "step": 7010 + }, + { + "entropy": 6.273657131195068, + "epoch": 7.486919380672718, + "grad_norm": 1.1953125, + "learning_rate": 0.00013191864952091727, + "loss": 5.4766, + "mean_token_accuracy": 0.1871364861726761, + "num_tokens": 15358778.0, + "step": 7015 + }, + { + "entropy": 6.32083649635315, + "epoch": 7.492258408969567, + "grad_norm": 1.203125, + "learning_rate": 0.00013159263246560008, + "loss": 5.5285, + "mean_token_accuracy": 0.18418796807527543, + "num_tokens": 15369696.0, + "step": 7020 + }, + { + "entropy": 6.350054740905762, + "epoch": 7.497597437266418, + "grad_norm": 1.2109375, + "learning_rate": 0.00013126712169933362, + "loss": 5.4787, + "mean_token_accuracy": 0.19281676262617112, + "num_tokens": 15380848.0, + "step": 7025 + }, + { + "entropy": 6.338539266586304, + "epoch": 7.502936465563267, + "grad_norm": 1.2890625, + "learning_rate": 0.0001309421183713093, + "loss": 5.489, + "mean_token_accuracy": 0.18487109690904618, + "num_tokens": 15390866.0, + "step": 7030 + }, + { + "entropy": 6.299791240692139, + "epoch": 7.5082754938601175, + "grad_norm": 1.125, + "learning_rate": 0.00013061762362892742, + "loss": 5.5355, + "mean_token_accuracy": 0.18896956443786622, + "num_tokens": 15402827.0, + "step": 7035 + }, + { + "entropy": 6.263814258575439, + "epoch": 7.513614522156967, + "grad_norm": 1.171875, + "learning_rate": 0.00013029363861779224, + "loss": 5.3697, + "mean_token_accuracy": 0.19655501693487168, + "num_tokens": 15413590.0, + "step": 7040 + }, + { + "entropy": 6.30505633354187, + "epoch": 7.518953550453817, + "grad_norm": 1.2265625, + "learning_rate": 0.00012997016448170907, + "loss": 5.5179, + "mean_token_accuracy": 0.1944273218512535, + "num_tokens": 15424626.0, + "step": 7045 + }, + { + "entropy": 6.302839183807373, + "epoch": 7.524292578750668, + "grad_norm": 1.1796875, + "learning_rate": 0.000129647202362679, + "loss": 5.5083, + "mean_token_accuracy": 0.18509242087602615, + "num_tokens": 15435369.0, + "step": 7050 + }, + { + "entropy": 6.266674900054932, + "epoch": 7.529631607047517, + "grad_norm": 1.171875, + "learning_rate": 0.00012932475340089606, + "loss": 5.3647, + "mean_token_accuracy": 0.1904921844601631, + "num_tokens": 15446093.0, + "step": 7055 + }, + { + "entropy": 6.313183116912842, + "epoch": 7.534970635344367, + "grad_norm": 1.1015625, + "learning_rate": 0.00012900281873474214, + "loss": 5.3895, + "mean_token_accuracy": 0.19382342249155043, + "num_tokens": 15458535.0, + "step": 7060 + }, + { + "entropy": 6.348286533355713, + "epoch": 7.540309663641217, + "grad_norm": 1.1875, + "learning_rate": 0.00012868139950078376, + "loss": 5.4868, + "mean_token_accuracy": 0.1908288910984993, + "num_tokens": 15469288.0, + "step": 7065 + }, + { + "entropy": 6.249121379852295, + "epoch": 7.545648691938068, + "grad_norm": 1.171875, + "learning_rate": 0.0001283604968337676, + "loss": 5.4569, + "mean_token_accuracy": 0.18953004479408264, + "num_tokens": 15479643.0, + "step": 7070 + }, + { + "entropy": 6.264892864227295, + "epoch": 7.550987720234917, + "grad_norm": 1.0703125, + "learning_rate": 0.00012804011186661664, + "loss": 5.4565, + "mean_token_accuracy": 0.18462781757116317, + "num_tokens": 15491012.0, + "step": 7075 + }, + { + "entropy": 6.2518665313720705, + "epoch": 7.556326748531768, + "grad_norm": 1.1328125, + "learning_rate": 0.00012772024573042625, + "loss": 5.4577, + "mean_token_accuracy": 0.1880313828587532, + "num_tokens": 15501621.0, + "step": 7080 + }, + { + "entropy": 6.325869989395142, + "epoch": 7.561665776828617, + "grad_norm": 1.0859375, + "learning_rate": 0.00012740089955445993, + "loss": 5.4366, + "mean_token_accuracy": 0.19207198768854142, + "num_tokens": 15512463.0, + "step": 7085 + }, + { + "entropy": 6.317035770416259, + "epoch": 7.5670048051254675, + "grad_norm": 1.21875, + "learning_rate": 0.00012708207446614577, + "loss": 5.417, + "mean_token_accuracy": 0.19555209428071976, + "num_tokens": 15522141.0, + "step": 7090 + }, + { + "entropy": 6.288141679763794, + "epoch": 7.572343833422317, + "grad_norm": 1.265625, + "learning_rate": 0.00012676377159107194, + "loss": 5.5003, + "mean_token_accuracy": 0.18633041232824327, + "num_tokens": 15532332.0, + "step": 7095 + }, + { + "entropy": 6.313205575942993, + "epoch": 7.577682861719167, + "grad_norm": 1.171875, + "learning_rate": 0.00012644599205298323, + "loss": 5.5188, + "mean_token_accuracy": 0.19106141477823257, + "num_tokens": 15542157.0, + "step": 7100 + }, + { + "entropy": 6.186431550979615, + "epoch": 7.583021890016017, + "grad_norm": 1.140625, + "learning_rate": 0.00012612873697377645, + "loss": 5.3858, + "mean_token_accuracy": 0.19531311988830566, + "num_tokens": 15554015.0, + "step": 7105 + }, + { + "entropy": 6.259077882766723, + "epoch": 7.588360918312867, + "grad_norm": 1.2109375, + "learning_rate": 0.00012581200747349713, + "loss": 5.4177, + "mean_token_accuracy": 0.19319947063922882, + "num_tokens": 15565134.0, + "step": 7110 + }, + { + "entropy": 6.28724513053894, + "epoch": 7.593699946609717, + "grad_norm": 1.1640625, + "learning_rate": 0.0001254958046703354, + "loss": 5.4835, + "mean_token_accuracy": 0.18521590232849122, + "num_tokens": 15575570.0, + "step": 7115 + }, + { + "entropy": 6.304519891738892, + "epoch": 7.599038974906567, + "grad_norm": 1.3203125, + "learning_rate": 0.0001251801296806215, + "loss": 5.452, + "mean_token_accuracy": 0.1922187700867653, + "num_tokens": 15586350.0, + "step": 7120 + }, + { + "entropy": 6.311883592605591, + "epoch": 7.604378003203417, + "grad_norm": 1.1328125, + "learning_rate": 0.00012486498361882276, + "loss": 5.4631, + "mean_token_accuracy": 0.1864357113838196, + "num_tokens": 15597064.0, + "step": 7125 + }, + { + "entropy": 6.283797788619995, + "epoch": 7.609717031500267, + "grad_norm": 1.078125, + "learning_rate": 0.00012455036759753872, + "loss": 5.4201, + "mean_token_accuracy": 0.19565890729427338, + "num_tokens": 15608424.0, + "step": 7130 + }, + { + "entropy": 6.309296417236328, + "epoch": 7.615056059797117, + "grad_norm": 1.15625, + "learning_rate": 0.0001242362827274981, + "loss": 5.4694, + "mean_token_accuracy": 0.18753717243671417, + "num_tokens": 15619193.0, + "step": 7135 + }, + { + "entropy": 6.307245063781738, + "epoch": 7.620395088093967, + "grad_norm": 1.1328125, + "learning_rate": 0.00012392273011755387, + "loss": 5.4772, + "mean_token_accuracy": 0.18487688452005385, + "num_tokens": 15630391.0, + "step": 7140 + }, + { + "entropy": 6.3016722202301025, + "epoch": 7.6257341163908166, + "grad_norm": 1.21875, + "learning_rate": 0.00012360971087468044, + "loss": 5.4741, + "mean_token_accuracy": 0.18722636699676515, + "num_tokens": 15641098.0, + "step": 7145 + }, + { + "entropy": 6.349103164672852, + "epoch": 7.631073144687667, + "grad_norm": 1.1875, + "learning_rate": 0.00012329722610396885, + "loss": 5.5289, + "mean_token_accuracy": 0.17972193509340287, + "num_tokens": 15652677.0, + "step": 7150 + }, + { + "entropy": 6.281785202026367, + "epoch": 7.6364121729845165, + "grad_norm": 1.328125, + "learning_rate": 0.00012298527690862346, + "loss": 5.3607, + "mean_token_accuracy": 0.20771307796239852, + "num_tokens": 15664161.0, + "step": 7155 + }, + { + "entropy": 6.28417181968689, + "epoch": 7.641751201281367, + "grad_norm": 1.25, + "learning_rate": 0.00012267386438995762, + "loss": 5.4356, + "mean_token_accuracy": 0.1937227040529251, + "num_tokens": 15674663.0, + "step": 7160 + }, + { + "entropy": 6.308889245986938, + "epoch": 7.647090229578216, + "grad_norm": 1.2734375, + "learning_rate": 0.00012236298964739018, + "loss": 5.4676, + "mean_token_accuracy": 0.18741294145584106, + "num_tokens": 15684798.0, + "step": 7165 + }, + { + "entropy": 6.325117874145508, + "epoch": 7.652429257875067, + "grad_norm": 1.2890625, + "learning_rate": 0.00012205265377844127, + "loss": 5.5007, + "mean_token_accuracy": 0.1891069769859314, + "num_tokens": 15694796.0, + "step": 7170 + }, + { + "entropy": 6.306446743011475, + "epoch": 7.657768286171917, + "grad_norm": 1.203125, + "learning_rate": 0.0001217428578787285, + "loss": 5.5164, + "mean_token_accuracy": 0.1903630942106247, + "num_tokens": 15705325.0, + "step": 7175 + }, + { + "entropy": 6.331416177749634, + "epoch": 7.663107314468767, + "grad_norm": 1.2421875, + "learning_rate": 0.00012143360304196345, + "loss": 5.4456, + "mean_token_accuracy": 0.19512286633253098, + "num_tokens": 15716106.0, + "step": 7180 + }, + { + "entropy": 6.254957675933838, + "epoch": 7.668446342765616, + "grad_norm": 1.3203125, + "learning_rate": 0.00012112489035994715, + "loss": 5.4089, + "mean_token_accuracy": 0.1882454499602318, + "num_tokens": 15726896.0, + "step": 7185 + }, + { + "entropy": 6.280194568634033, + "epoch": 7.673785371062467, + "grad_norm": 1.15625, + "learning_rate": 0.00012081672092256693, + "loss": 5.4604, + "mean_token_accuracy": 0.1862812101840973, + "num_tokens": 15737492.0, + "step": 7190 + }, + { + "entropy": 6.3121009349823, + "epoch": 7.679124399359317, + "grad_norm": 1.171875, + "learning_rate": 0.00012050909581779194, + "loss": 5.4492, + "mean_token_accuracy": 0.18987040221691132, + "num_tokens": 15748941.0, + "step": 7195 + }, + { + "entropy": 6.290960836410522, + "epoch": 7.6844634276561665, + "grad_norm": 1.0625, + "learning_rate": 0.00012020201613166996, + "loss": 5.4389, + "mean_token_accuracy": 0.1893820658326149, + "num_tokens": 15760364.0, + "step": 7200 + }, + { + "entropy": 6.273015642166138, + "epoch": 7.689802455953017, + "grad_norm": 1.203125, + "learning_rate": 0.0001198954829483227, + "loss": 5.4886, + "mean_token_accuracy": 0.19192273169755936, + "num_tokens": 15770827.0, + "step": 7205 + }, + { + "entropy": 6.291214561462402, + "epoch": 7.695141484249866, + "grad_norm": 1.2265625, + "learning_rate": 0.00011958949734994294, + "loss": 5.4105, + "mean_token_accuracy": 0.19716935455799103, + "num_tokens": 15781685.0, + "step": 7210 + }, + { + "entropy": 6.3456682682037355, + "epoch": 7.700480512546717, + "grad_norm": 1.078125, + "learning_rate": 0.00011928406041679016, + "loss": 5.5194, + "mean_token_accuracy": 0.18710066080093385, + "num_tokens": 15793467.0, + "step": 7215 + }, + { + "entropy": 6.278537702560425, + "epoch": 7.705819540843566, + "grad_norm": 1.1640625, + "learning_rate": 0.00011897917322718658, + "loss": 5.4711, + "mean_token_accuracy": 0.18923619240522385, + "num_tokens": 15804030.0, + "step": 7220 + }, + { + "entropy": 6.326219749450684, + "epoch": 7.711158569140417, + "grad_norm": 1.171875, + "learning_rate": 0.00011867483685751393, + "loss": 5.4758, + "mean_token_accuracy": 0.19105219542980195, + "num_tokens": 15815834.0, + "step": 7225 + }, + { + "entropy": 6.304016733169556, + "epoch": 7.716497597437266, + "grad_norm": 1.0625, + "learning_rate": 0.00011837105238220905, + "loss": 5.4935, + "mean_token_accuracy": 0.18709275275468826, + "num_tokens": 15828605.0, + "step": 7230 + }, + { + "entropy": 6.295789098739624, + "epoch": 7.721836625734117, + "grad_norm": 1.25, + "learning_rate": 0.00011806782087376044, + "loss": 5.4023, + "mean_token_accuracy": 0.1915412038564682, + "num_tokens": 15838820.0, + "step": 7235 + }, + { + "entropy": 6.2806047916412355, + "epoch": 7.727175654030966, + "grad_norm": 1.21875, + "learning_rate": 0.00011776514340270435, + "loss": 5.471, + "mean_token_accuracy": 0.19484994560480118, + "num_tokens": 15850425.0, + "step": 7240 + }, + { + "entropy": 6.332225275039673, + "epoch": 7.732514682327817, + "grad_norm": 1.234375, + "learning_rate": 0.0001174630210376212, + "loss": 5.5353, + "mean_token_accuracy": 0.18361962884664534, + "num_tokens": 15861175.0, + "step": 7245 + }, + { + "entropy": 6.294142627716065, + "epoch": 7.737853710624666, + "grad_norm": 1.265625, + "learning_rate": 0.00011716145484513142, + "loss": 5.4624, + "mean_token_accuracy": 0.18699735403060913, + "num_tokens": 15871425.0, + "step": 7250 + }, + { + "entropy": 6.280290603637695, + "epoch": 7.7431927389215165, + "grad_norm": 1.3046875, + "learning_rate": 0.00011686044588989222, + "loss": 5.3874, + "mean_token_accuracy": 0.20123666226863862, + "num_tokens": 15881984.0, + "step": 7255 + }, + { + "entropy": 6.221923875808716, + "epoch": 7.748531767218366, + "grad_norm": 1.1015625, + "learning_rate": 0.00011655999523459311, + "loss": 5.4414, + "mean_token_accuracy": 0.1885385051369667, + "num_tokens": 15891940.0, + "step": 7260 + }, + { + "entropy": 6.3203362941741945, + "epoch": 7.753870795515216, + "grad_norm": 1.1953125, + "learning_rate": 0.00011626010393995301, + "loss": 5.5108, + "mean_token_accuracy": 0.1837375894188881, + "num_tokens": 15902899.0, + "step": 7265 + }, + { + "entropy": 6.2765544891357425, + "epoch": 7.759209823812066, + "grad_norm": 1.2578125, + "learning_rate": 0.00011596077306471577, + "loss": 5.4318, + "mean_token_accuracy": 0.193292735517025, + "num_tokens": 15913022.0, + "step": 7270 + }, + { + "entropy": 6.257391500473022, + "epoch": 7.764548852108916, + "grad_norm": 1.15625, + "learning_rate": 0.00011566200366564665, + "loss": 5.4287, + "mean_token_accuracy": 0.19449929893016815, + "num_tokens": 15924046.0, + "step": 7275 + }, + { + "entropy": 6.305574607849121, + "epoch": 7.769887880405766, + "grad_norm": 1.0390625, + "learning_rate": 0.00011536379679752901, + "loss": 5.5019, + "mean_token_accuracy": 0.18431514203548433, + "num_tokens": 15935993.0, + "step": 7280 + }, + { + "entropy": 6.27879376411438, + "epoch": 7.775226908702616, + "grad_norm": 1.234375, + "learning_rate": 0.00011506615351315989, + "loss": 5.52, + "mean_token_accuracy": 0.18554560840129852, + "num_tokens": 15946183.0, + "step": 7285 + }, + { + "entropy": 6.297955513000488, + "epoch": 7.780565936999466, + "grad_norm": 1.203125, + "learning_rate": 0.00011476907486334688, + "loss": 5.4348, + "mean_token_accuracy": 0.18957224488258362, + "num_tokens": 15956010.0, + "step": 7290 + }, + { + "entropy": 6.317027902603149, + "epoch": 7.785904965296316, + "grad_norm": 1.1796875, + "learning_rate": 0.00011447256189690404, + "loss": 5.4409, + "mean_token_accuracy": 0.1914788231253624, + "num_tokens": 15966747.0, + "step": 7295 + }, + { + "entropy": 6.245621633529663, + "epoch": 7.791243993593166, + "grad_norm": 1.21875, + "learning_rate": 0.00011417661566064834, + "loss": 5.4596, + "mean_token_accuracy": 0.1893852472305298, + "num_tokens": 15976551.0, + "step": 7300 + }, + { + "entropy": 6.285864305496216, + "epoch": 7.796583021890016, + "grad_norm": 1.2890625, + "learning_rate": 0.00011388123719939586, + "loss": 5.4493, + "mean_token_accuracy": 0.1863636240363121, + "num_tokens": 15987074.0, + "step": 7305 + }, + { + "entropy": 6.305343341827393, + "epoch": 7.801922050186866, + "grad_norm": 1.328125, + "learning_rate": 0.00011358642755595853, + "loss": 5.4769, + "mean_token_accuracy": 0.1860616162419319, + "num_tokens": 15997180.0, + "step": 7310 + }, + { + "entropy": 6.33305025100708, + "epoch": 7.807261078483716, + "grad_norm": 1.109375, + "learning_rate": 0.00011329218777113965, + "loss": 5.4329, + "mean_token_accuracy": 0.1920934110879898, + "num_tokens": 16008653.0, + "step": 7315 + }, + { + "entropy": 6.348929166793823, + "epoch": 7.812600106780566, + "grad_norm": 1.21875, + "learning_rate": 0.00011299851888373102, + "loss": 5.5976, + "mean_token_accuracy": 0.18123090267181396, + "num_tokens": 16020561.0, + "step": 7320 + }, + { + "entropy": 6.2745198726654055, + "epoch": 7.817939135077416, + "grad_norm": 1.21875, + "learning_rate": 0.00011270542193050888, + "loss": 5.4626, + "mean_token_accuracy": 0.19890002608299256, + "num_tokens": 16031456.0, + "step": 7325 + }, + { + "entropy": 6.341566324234009, + "epoch": 7.823278163374265, + "grad_norm": 1.1640625, + "learning_rate": 0.00011241289794623018, + "loss": 5.5555, + "mean_token_accuracy": 0.1821800947189331, + "num_tokens": 16042757.0, + "step": 7330 + }, + { + "entropy": 6.235800075531006, + "epoch": 7.828617191671116, + "grad_norm": 1.234375, + "learning_rate": 0.00011212094796362907, + "loss": 5.3304, + "mean_token_accuracy": 0.19140418320894242, + "num_tokens": 16053022.0, + "step": 7335 + }, + { + "entropy": 6.276721525192261, + "epoch": 7.833956219967966, + "grad_norm": 1.2109375, + "learning_rate": 0.00011182957301341321, + "loss": 5.4054, + "mean_token_accuracy": 0.18919897228479385, + "num_tokens": 16063959.0, + "step": 7340 + }, + { + "entropy": 6.3329778671264645, + "epoch": 7.839295248264816, + "grad_norm": 1.2265625, + "learning_rate": 0.00011153877412426034, + "loss": 5.4952, + "mean_token_accuracy": 0.18930234760046005, + "num_tokens": 16074402.0, + "step": 7345 + }, + { + "entropy": 6.211783933639526, + "epoch": 7.844634276561666, + "grad_norm": 1.234375, + "learning_rate": 0.0001112485523228142, + "loss": 5.371, + "mean_token_accuracy": 0.1979040816426277, + "num_tokens": 16085596.0, + "step": 7350 + }, + { + "entropy": 6.2267842292785645, + "epoch": 7.849973304858516, + "grad_norm": 1.3203125, + "learning_rate": 0.0001109589086336814, + "loss": 5.44, + "mean_token_accuracy": 0.19745024889707566, + "num_tokens": 16095625.0, + "step": 7355 + }, + { + "entropy": 6.285884141921997, + "epoch": 7.855312333155366, + "grad_norm": 1.2734375, + "learning_rate": 0.00011066984407942737, + "loss": 5.419, + "mean_token_accuracy": 0.18915786296129228, + "num_tokens": 16107750.0, + "step": 7360 + }, + { + "entropy": 6.269041252136231, + "epoch": 7.8606513614522155, + "grad_norm": 1.1875, + "learning_rate": 0.000110381359680573, + "loss": 5.4201, + "mean_token_accuracy": 0.19418328255414963, + "num_tokens": 16118652.0, + "step": 7365 + }, + { + "entropy": 6.27239875793457, + "epoch": 7.865990389749066, + "grad_norm": 1.2109375, + "learning_rate": 0.00011009345645559113, + "loss": 5.4206, + "mean_token_accuracy": 0.1961502403020859, + "num_tokens": 16129598.0, + "step": 7370 + }, + { + "entropy": 6.298056602478027, + "epoch": 7.8713294180459155, + "grad_norm": 1.2578125, + "learning_rate": 0.00010980613542090256, + "loss": 5.4407, + "mean_token_accuracy": 0.18880777657032013, + "num_tokens": 16140844.0, + "step": 7375 + }, + { + "entropy": 6.235966157913208, + "epoch": 7.876668446342766, + "grad_norm": 1.125, + "learning_rate": 0.00010951939759087298, + "loss": 5.4592, + "mean_token_accuracy": 0.1888560727238655, + "num_tokens": 16150922.0, + "step": 7380 + }, + { + "entropy": 6.307231903076172, + "epoch": 7.882007474639615, + "grad_norm": 1.328125, + "learning_rate": 0.00010923324397780887, + "loss": 5.4756, + "mean_token_accuracy": 0.19293616265058516, + "num_tokens": 16162440.0, + "step": 7385 + }, + { + "entropy": 6.284047031402588, + "epoch": 7.887346502936466, + "grad_norm": 1.1328125, + "learning_rate": 0.0001089476755919544, + "loss": 5.4599, + "mean_token_accuracy": 0.19319476932287216, + "num_tokens": 16173475.0, + "step": 7390 + }, + { + "entropy": 6.298360204696655, + "epoch": 7.892685531233315, + "grad_norm": 1.3359375, + "learning_rate": 0.00010866269344148746, + "loss": 5.5093, + "mean_token_accuracy": 0.18962480425834655, + "num_tokens": 16185668.0, + "step": 7395 + }, + { + "entropy": 6.305071783065796, + "epoch": 7.898024559530166, + "grad_norm": 1.2421875, + "learning_rate": 0.00010837829853251636, + "loss": 5.4894, + "mean_token_accuracy": 0.18193406611680984, + "num_tokens": 16198027.0, + "step": 7400 + }, + { + "entropy": 6.3255843162536625, + "epoch": 7.903363587827015, + "grad_norm": 1.234375, + "learning_rate": 0.00010809449186907611, + "loss": 5.5162, + "mean_token_accuracy": 0.18655869215726853, + "num_tokens": 16209601.0, + "step": 7405 + }, + { + "entropy": 6.297071886062622, + "epoch": 7.908702616123866, + "grad_norm": 1.125, + "learning_rate": 0.00010781127445312516, + "loss": 5.3818, + "mean_token_accuracy": 0.2019501507282257, + "num_tokens": 16221300.0, + "step": 7410 + }, + { + "entropy": 6.289458560943603, + "epoch": 7.914041644420715, + "grad_norm": 1.1171875, + "learning_rate": 0.00010752864728454143, + "loss": 5.4794, + "mean_token_accuracy": 0.18796940445899962, + "num_tokens": 16232923.0, + "step": 7415 + }, + { + "entropy": 6.289797735214234, + "epoch": 7.9193806727175655, + "grad_norm": 1.2421875, + "learning_rate": 0.00010724661136111918, + "loss": 5.4568, + "mean_token_accuracy": 0.18568747937679292, + "num_tokens": 16243373.0, + "step": 7420 + }, + { + "entropy": 6.255471897125244, + "epoch": 7.924719701014415, + "grad_norm": 1.25, + "learning_rate": 0.00010696516767856545, + "loss": 5.4383, + "mean_token_accuracy": 0.186435666680336, + "num_tokens": 16254716.0, + "step": 7425 + }, + { + "entropy": 6.313004779815674, + "epoch": 7.930058729311265, + "grad_norm": 1.0546875, + "learning_rate": 0.0001066843172304959, + "loss": 5.5306, + "mean_token_accuracy": 0.18111457228660582, + "num_tokens": 16266174.0, + "step": 7430 + }, + { + "entropy": 6.270875453948975, + "epoch": 7.935397757608115, + "grad_norm": 1.2578125, + "learning_rate": 0.00010640406100843242, + "loss": 5.3602, + "mean_token_accuracy": 0.19346348643302919, + "num_tokens": 16275927.0, + "step": 7435 + }, + { + "entropy": 6.3107868194580075, + "epoch": 7.940736785904965, + "grad_norm": 1.234375, + "learning_rate": 0.00010612440000179861, + "loss": 5.5281, + "mean_token_accuracy": 0.18930120766162872, + "num_tokens": 16287518.0, + "step": 7440 + }, + { + "entropy": 6.290305042266846, + "epoch": 7.946075814201816, + "grad_norm": 1.1875, + "learning_rate": 0.000105845335197917, + "loss": 5.4716, + "mean_token_accuracy": 0.18532466441392897, + "num_tokens": 16298201.0, + "step": 7445 + }, + { + "entropy": 6.315746784210205, + "epoch": 7.951414842498665, + "grad_norm": 1.1953125, + "learning_rate": 0.00010556686758200499, + "loss": 5.4838, + "mean_token_accuracy": 0.1856360211968422, + "num_tokens": 16309768.0, + "step": 7450 + }, + { + "entropy": 6.258326768875122, + "epoch": 7.956753870795515, + "grad_norm": 1.171875, + "learning_rate": 0.00010528899813717194, + "loss": 5.5407, + "mean_token_accuracy": 0.18397447764873504, + "num_tokens": 16320837.0, + "step": 7455 + }, + { + "entropy": 6.266445732116699, + "epoch": 7.962092899092365, + "grad_norm": 1.34375, + "learning_rate": 0.00010501172784441522, + "loss": 5.4617, + "mean_token_accuracy": 0.18468159288167954, + "num_tokens": 16332729.0, + "step": 7460 + }, + { + "entropy": 6.273439836502075, + "epoch": 7.967431927389216, + "grad_norm": 1.125, + "learning_rate": 0.00010473505768261691, + "loss": 5.4136, + "mean_token_accuracy": 0.18490265756845475, + "num_tokens": 16343444.0, + "step": 7465 + }, + { + "entropy": 6.235618734359742, + "epoch": 7.972770955686065, + "grad_norm": 1.25, + "learning_rate": 0.00010445898862854056, + "loss": 5.4047, + "mean_token_accuracy": 0.19600029289722443, + "num_tokens": 16354452.0, + "step": 7470 + }, + { + "entropy": 6.254809045791626, + "epoch": 7.9781099839829155, + "grad_norm": 1.2421875, + "learning_rate": 0.00010418352165682737, + "loss": 5.4354, + "mean_token_accuracy": 0.19964061975479125, + "num_tokens": 16365276.0, + "step": 7475 + }, + { + "entropy": 6.267963027954101, + "epoch": 7.983449012279765, + "grad_norm": 1.1015625, + "learning_rate": 0.00010390865773999305, + "loss": 5.4557, + "mean_token_accuracy": 0.19333289116621016, + "num_tokens": 16376176.0, + "step": 7480 + }, + { + "entropy": 6.220429754257202, + "epoch": 7.988788040576615, + "grad_norm": 1.1953125, + "learning_rate": 0.00010363439784842419, + "loss": 5.4219, + "mean_token_accuracy": 0.18904615938663483, + "num_tokens": 16386610.0, + "step": 7485 + }, + { + "entropy": 6.231282806396484, + "epoch": 7.994127068873465, + "grad_norm": 1.4140625, + "learning_rate": 0.00010336074295037506, + "loss": 5.376, + "mean_token_accuracy": 0.20314324349164964, + "num_tokens": 16396838.0, + "step": 7490 + }, + { + "entropy": 6.271087694168091, + "epoch": 7.999466097170315, + "grad_norm": 1.203125, + "learning_rate": 0.00010308769401196371, + "loss": 5.5287, + "mean_token_accuracy": 0.18455882072448732, + "num_tokens": 16407344.0, + "step": 7495 + }, + { + "entropy": 6.314283529917399, + "epoch": 8.00427122263748, + "grad_norm": 1.21875, + "learning_rate": 0.00010281525199716934, + "loss": 5.3818, + "mean_token_accuracy": 0.1875956224070655, + "num_tokens": 16416439.0, + "step": 7500 + }, + { + "epoch": 8.00427122263748, + "eval_entropy": 6.136151521856134, + "eval_loss": 6.5423078536987305, + "eval_mean_token_accuracy": 0.13510648057638824, + "eval_num_tokens": 16416439.0, + "eval_runtime": 1.8109, + "eval_samples_per_second": 1700.848, + "eval_steps_per_second": 212.606, + "step": 7500 + }, + { + "entropy": 6.285388946533203, + "epoch": 8.00961025093433, + "grad_norm": 1.1640625, + "learning_rate": 0.00010254341786782806, + "loss": 5.4454, + "mean_token_accuracy": 0.19184360802173614, + "num_tokens": 16427682.0, + "step": 7505 + }, + { + "entropy": 6.251141166687011, + "epoch": 8.01494927923118, + "grad_norm": 1.1171875, + "learning_rate": 0.00010227219258363021, + "loss": 5.3525, + "mean_token_accuracy": 0.1970635950565338, + "num_tokens": 16438338.0, + "step": 7510 + }, + { + "entropy": 6.2690081119537355, + "epoch": 8.02028830752803, + "grad_norm": 1.3203125, + "learning_rate": 0.00010200157710211637, + "loss": 5.3709, + "mean_token_accuracy": 0.20117098987102508, + "num_tokens": 16449151.0, + "step": 7515 + }, + { + "entropy": 6.241944169998169, + "epoch": 8.025627335824879, + "grad_norm": 1.25, + "learning_rate": 0.00010173157237867444, + "loss": 5.3415, + "mean_token_accuracy": 0.19427326321601868, + "num_tokens": 16460160.0, + "step": 7520 + }, + { + "entropy": 6.247269773483277, + "epoch": 8.03096636412173, + "grad_norm": 1.234375, + "learning_rate": 0.00010146217936653614, + "loss": 5.3315, + "mean_token_accuracy": 0.20295249819755554, + "num_tokens": 16470602.0, + "step": 7525 + }, + { + "entropy": 6.3116706848144535, + "epoch": 8.03630539241858, + "grad_norm": 1.265625, + "learning_rate": 0.0001011933990167732, + "loss": 5.3299, + "mean_token_accuracy": 0.19919252395629883, + "num_tokens": 16481086.0, + "step": 7530 + }, + { + "entropy": 6.287974166870117, + "epoch": 8.04164442071543, + "grad_norm": 1.1484375, + "learning_rate": 0.00010092523227829492, + "loss": 5.3898, + "mean_token_accuracy": 0.1971887692809105, + "num_tokens": 16492012.0, + "step": 7535 + }, + { + "entropy": 6.300996112823486, + "epoch": 8.046983449012279, + "grad_norm": 1.234375, + "learning_rate": 0.00010065768009784381, + "loss": 5.447, + "mean_token_accuracy": 0.1879270300269127, + "num_tokens": 16502793.0, + "step": 7540 + }, + { + "entropy": 6.330128574371338, + "epoch": 8.05232247730913, + "grad_norm": 1.1875, + "learning_rate": 0.0001003907434199932, + "loss": 5.4588, + "mean_token_accuracy": 0.19208128452301027, + "num_tokens": 16512457.0, + "step": 7545 + }, + { + "entropy": 6.296833324432373, + "epoch": 8.05766150560598, + "grad_norm": 1.40625, + "learning_rate": 0.000100124423187143, + "loss": 5.3995, + "mean_token_accuracy": 0.19723411351442338, + "num_tokens": 16522859.0, + "step": 7550 + }, + { + "entropy": 6.311189317703247, + "epoch": 8.06300053390283, + "grad_norm": 1.1953125, + "learning_rate": 9.985872033951708e-05, + "loss": 5.4119, + "mean_token_accuracy": 0.195047065615654, + "num_tokens": 16533755.0, + "step": 7555 + }, + { + "entropy": 6.288791131973267, + "epoch": 8.06833956219968, + "grad_norm": 1.2578125, + "learning_rate": 9.95936358151596e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.19499182999134063, + "num_tokens": 16544928.0, + "step": 7560 + }, + { + "entropy": 6.2984113693237305, + "epoch": 8.07367859049653, + "grad_norm": 1.2109375, + "learning_rate": 9.932917054993168e-05, + "loss": 5.3576, + "mean_token_accuracy": 0.20289150178432463, + "num_tokens": 16554730.0, + "step": 7565 + }, + { + "entropy": 6.211780023574829, + "epoch": 8.07901761879338, + "grad_norm": 1.2578125, + "learning_rate": 9.906532547750839e-05, + "loss": 5.3808, + "mean_token_accuracy": 0.19330030232667922, + "num_tokens": 16565374.0, + "step": 7570 + }, + { + "entropy": 6.291947889328003, + "epoch": 8.08435664709023, + "grad_norm": 1.09375, + "learning_rate": 9.880210152937502e-05, + "loss": 5.373, + "mean_token_accuracy": 0.19923413395881653, + "num_tokens": 16576477.0, + "step": 7575 + }, + { + "entropy": 6.276288414001465, + "epoch": 8.08969567538708, + "grad_norm": 1.1171875, + "learning_rate": 9.85394996348243e-05, + "loss": 5.3712, + "mean_token_accuracy": 0.20000862181186677, + "num_tokens": 16587675.0, + "step": 7580 + }, + { + "entropy": 6.247407913208008, + "epoch": 8.095034703683929, + "grad_norm": 1.046875, + "learning_rate": 9.827752072095258e-05, + "loss": 5.2777, + "mean_token_accuracy": 0.2046089142560959, + "num_tokens": 16600895.0, + "step": 7585 + }, + { + "entropy": 6.35636796951294, + "epoch": 8.10037373198078, + "grad_norm": 1.1484375, + "learning_rate": 9.801616571265709e-05, + "loss": 5.4592, + "mean_token_accuracy": 0.19454747587442398, + "num_tokens": 16612318.0, + "step": 7590 + }, + { + "entropy": 6.331305074691772, + "epoch": 8.10571276027763, + "grad_norm": 1.1796875, + "learning_rate": 9.775543553263203e-05, + "loss": 5.4849, + "mean_token_accuracy": 0.18617027550935744, + "num_tokens": 16623490.0, + "step": 7595 + }, + { + "entropy": 6.314173412322998, + "epoch": 8.11105178857448, + "grad_norm": 1.140625, + "learning_rate": 9.74953311013661e-05, + "loss": 5.4335, + "mean_token_accuracy": 0.19303737729787826, + "num_tokens": 16635378.0, + "step": 7600 + }, + { + "entropy": 6.272602128982544, + "epoch": 8.116390816871329, + "grad_norm": 1.2578125, + "learning_rate": 9.723585333713853e-05, + "loss": 5.3626, + "mean_token_accuracy": 0.1940835028886795, + "num_tokens": 16645073.0, + "step": 7605 + }, + { + "entropy": 6.308458137512207, + "epoch": 8.12172984516818, + "grad_norm": 1.171875, + "learning_rate": 9.697700315601643e-05, + "loss": 5.403, + "mean_token_accuracy": 0.19990355968475343, + "num_tokens": 16655891.0, + "step": 7610 + }, + { + "entropy": 6.243864917755127, + "epoch": 8.12706887346503, + "grad_norm": 1.203125, + "learning_rate": 9.671878147185097e-05, + "loss": 5.3733, + "mean_token_accuracy": 0.20272928178310395, + "num_tokens": 16665887.0, + "step": 7615 + }, + { + "entropy": 6.275272703170776, + "epoch": 8.13240790176188, + "grad_norm": 1.1484375, + "learning_rate": 9.646118919627466e-05, + "loss": 5.4103, + "mean_token_accuracy": 0.19670272767543792, + "num_tokens": 16677282.0, + "step": 7620 + }, + { + "entropy": 6.315062665939331, + "epoch": 8.137746930058729, + "grad_norm": 1.09375, + "learning_rate": 9.620422723869804e-05, + "loss": 5.4226, + "mean_token_accuracy": 0.1900483101606369, + "num_tokens": 16688907.0, + "step": 7625 + }, + { + "entropy": 6.273891258239746, + "epoch": 8.143085958355579, + "grad_norm": 1.234375, + "learning_rate": 9.594789650630595e-05, + "loss": 5.3772, + "mean_token_accuracy": 0.19321130514144896, + "num_tokens": 16698767.0, + "step": 7630 + }, + { + "entropy": 6.313991069793701, + "epoch": 8.14842498665243, + "grad_norm": 1.265625, + "learning_rate": 9.569219790405514e-05, + "loss": 5.3572, + "mean_token_accuracy": 0.1905400574207306, + "num_tokens": 16708789.0, + "step": 7635 + }, + { + "entropy": 6.297112989425659, + "epoch": 8.15376401494928, + "grad_norm": 1.2421875, + "learning_rate": 9.543713233467044e-05, + "loss": 5.4322, + "mean_token_accuracy": 0.19112920761108398, + "num_tokens": 16718923.0, + "step": 7640 + }, + { + "entropy": 6.326007986068726, + "epoch": 8.159103043246128, + "grad_norm": 1.1875, + "learning_rate": 9.518270069864194e-05, + "loss": 5.5019, + "mean_token_accuracy": 0.18736330568790435, + "num_tokens": 16730878.0, + "step": 7645 + }, + { + "entropy": 6.2732117652893065, + "epoch": 8.164442071542979, + "grad_norm": 1.2421875, + "learning_rate": 9.492890389422157e-05, + "loss": 5.3433, + "mean_token_accuracy": 0.1988297149538994, + "num_tokens": 16740736.0, + "step": 7650 + }, + { + "entropy": 6.253875780105591, + "epoch": 8.16978109983983, + "grad_norm": 1.359375, + "learning_rate": 9.467574281742015e-05, + "loss": 5.3155, + "mean_token_accuracy": 0.20268877744674682, + "num_tokens": 16750294.0, + "step": 7655 + }, + { + "entropy": 6.25405969619751, + "epoch": 8.17512012813668, + "grad_norm": 1.1484375, + "learning_rate": 9.442321836200399e-05, + "loss": 5.4421, + "mean_token_accuracy": 0.19080522060394287, + "num_tokens": 16761683.0, + "step": 7660 + }, + { + "entropy": 6.2844563007354735, + "epoch": 8.180459156433528, + "grad_norm": 1.1953125, + "learning_rate": 9.417133141949186e-05, + "loss": 5.4373, + "mean_token_accuracy": 0.1910292387008667, + "num_tokens": 16772828.0, + "step": 7665 + }, + { + "entropy": 6.286375570297241, + "epoch": 8.185798184730379, + "grad_norm": 1.34375, + "learning_rate": 9.392008287915201e-05, + "loss": 5.4376, + "mean_token_accuracy": 0.19190025478601455, + "num_tokens": 16783853.0, + "step": 7670 + }, + { + "entropy": 6.296071195602417, + "epoch": 8.191137213027229, + "grad_norm": 1.3515625, + "learning_rate": 9.366947362799858e-05, + "loss": 5.3816, + "mean_token_accuracy": 0.19442843794822692, + "num_tokens": 16794032.0, + "step": 7675 + }, + { + "entropy": 6.2660017013549805, + "epoch": 8.19647624132408, + "grad_norm": 1.2265625, + "learning_rate": 9.341950455078907e-05, + "loss": 5.4141, + "mean_token_accuracy": 0.19492938816547395, + "num_tokens": 16805269.0, + "step": 7680 + }, + { + "entropy": 6.236077737808228, + "epoch": 8.20181526962093, + "grad_norm": 1.1484375, + "learning_rate": 9.31701765300206e-05, + "loss": 5.2736, + "mean_token_accuracy": 0.2090698704123497, + "num_tokens": 16817116.0, + "step": 7685 + }, + { + "entropy": 6.280970525741577, + "epoch": 8.207154297917779, + "grad_norm": 1.2109375, + "learning_rate": 9.292149044592733e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19769419878721237, + "num_tokens": 16828492.0, + "step": 7690 + }, + { + "entropy": 6.312994480133057, + "epoch": 8.212493326214629, + "grad_norm": 1.1171875, + "learning_rate": 9.267344717647682e-05, + "loss": 5.4436, + "mean_token_accuracy": 0.19130415469408035, + "num_tokens": 16839715.0, + "step": 7695 + }, + { + "entropy": 6.257885408401489, + "epoch": 8.21783235451148, + "grad_norm": 1.1796875, + "learning_rate": 9.242604759736759e-05, + "loss": 5.4476, + "mean_token_accuracy": 0.19316410273313522, + "num_tokens": 16850451.0, + "step": 7700 + }, + { + "entropy": 6.300156831741333, + "epoch": 8.22317138280833, + "grad_norm": 1.1796875, + "learning_rate": 9.217929258202528e-05, + "loss": 5.3927, + "mean_token_accuracy": 0.19539438039064408, + "num_tokens": 16861046.0, + "step": 7705 + }, + { + "entropy": 6.311345863342285, + "epoch": 8.228510411105178, + "grad_norm": 1.25, + "learning_rate": 9.193318300160024e-05, + "loss": 5.358, + "mean_token_accuracy": 0.19471683353185654, + "num_tokens": 16871748.0, + "step": 7710 + }, + { + "entropy": 6.294392871856689, + "epoch": 8.233849439402029, + "grad_norm": 1.1796875, + "learning_rate": 9.168771972496404e-05, + "loss": 5.3503, + "mean_token_accuracy": 0.19816206097602845, + "num_tokens": 16883126.0, + "step": 7715 + }, + { + "entropy": 6.264479064941407, + "epoch": 8.23918846769888, + "grad_norm": 1.203125, + "learning_rate": 9.144290361870652e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.19831522554159164, + "num_tokens": 16894377.0, + "step": 7720 + }, + { + "entropy": 6.309286832809448, + "epoch": 8.24452749599573, + "grad_norm": 1.1796875, + "learning_rate": 9.119873554713274e-05, + "loss": 5.4392, + "mean_token_accuracy": 0.19227964729070662, + "num_tokens": 16905234.0, + "step": 7725 + }, + { + "entropy": 6.304486989974976, + "epoch": 8.249866524292578, + "grad_norm": 1.265625, + "learning_rate": 9.095521637225988e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.1948908343911171, + "num_tokens": 16915031.0, + "step": 7730 + }, + { + "entropy": 6.334994268417359, + "epoch": 8.255205552589429, + "grad_norm": 1.21875, + "learning_rate": 9.071234695381441e-05, + "loss": 5.441, + "mean_token_accuracy": 0.18804772496223449, + "num_tokens": 16926595.0, + "step": 7735 + }, + { + "entropy": 6.2513487339019775, + "epoch": 8.260544580886279, + "grad_norm": 1.2421875, + "learning_rate": 9.04701281492286e-05, + "loss": 5.3925, + "mean_token_accuracy": 0.20451612323522567, + "num_tokens": 16937612.0, + "step": 7740 + }, + { + "entropy": 6.253056144714355, + "epoch": 8.26588360918313, + "grad_norm": 1.1953125, + "learning_rate": 9.022856081363806e-05, + "loss": 5.377, + "mean_token_accuracy": 0.1940850868821144, + "num_tokens": 16948734.0, + "step": 7745 + }, + { + "entropy": 6.265314435958862, + "epoch": 8.271222637479978, + "grad_norm": 1.0546875, + "learning_rate": 8.998764579987823e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.1988656148314476, + "num_tokens": 16961310.0, + "step": 7750 + }, + { + "entropy": 6.3020031452178955, + "epoch": 8.276561665776828, + "grad_norm": 1.3515625, + "learning_rate": 8.974738395848171e-05, + "loss": 5.3774, + "mean_token_accuracy": 0.19321369230747223, + "num_tokens": 16971196.0, + "step": 7755 + }, + { + "entropy": 6.257359170913697, + "epoch": 8.281900694073679, + "grad_norm": 1.0078125, + "learning_rate": 8.950777613767508e-05, + "loss": 5.4115, + "mean_token_accuracy": 0.19390098601579667, + "num_tokens": 16983424.0, + "step": 7760 + }, + { + "entropy": 6.257221746444702, + "epoch": 8.28723972237053, + "grad_norm": 1.234375, + "learning_rate": 8.926882318337586e-05, + "loss": 5.301, + "mean_token_accuracy": 0.19741829335689545, + "num_tokens": 16994389.0, + "step": 7765 + }, + { + "entropy": 6.277281904220581, + "epoch": 8.292578750667378, + "grad_norm": 1.2109375, + "learning_rate": 8.903052593918979e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.1859165444970131, + "num_tokens": 17006239.0, + "step": 7770 + }, + { + "entropy": 6.239947509765625, + "epoch": 8.297917778964228, + "grad_norm": 1.1953125, + "learning_rate": 8.879288524640747e-05, + "loss": 5.3851, + "mean_token_accuracy": 0.18899611085653306, + "num_tokens": 17018648.0, + "step": 7775 + }, + { + "entropy": 6.286568927764892, + "epoch": 8.303256807261079, + "grad_norm": 1.2109375, + "learning_rate": 8.855590194400182e-05, + "loss": 5.4784, + "mean_token_accuracy": 0.18599783927202224, + "num_tokens": 17028965.0, + "step": 7780 + }, + { + "entropy": 6.27871527671814, + "epoch": 8.308595835557929, + "grad_norm": 1.3515625, + "learning_rate": 8.83195768686247e-05, + "loss": 5.4402, + "mean_token_accuracy": 0.18707661628723143, + "num_tokens": 17039432.0, + "step": 7785 + }, + { + "entropy": 6.333696699142456, + "epoch": 8.313934863854778, + "grad_norm": 1.15625, + "learning_rate": 8.808391085460424e-05, + "loss": 5.4866, + "mean_token_accuracy": 0.19333939999341965, + "num_tokens": 17050931.0, + "step": 7790 + }, + { + "entropy": 6.309759092330933, + "epoch": 8.319273892151628, + "grad_norm": 1.1953125, + "learning_rate": 8.784890473394173e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19778697490692138, + "num_tokens": 17062665.0, + "step": 7795 + }, + { + "entropy": 6.358693599700928, + "epoch": 8.324612920448478, + "grad_norm": 1.046875, + "learning_rate": 8.761455933630891e-05, + "loss": 5.4792, + "mean_token_accuracy": 0.18731221705675125, + "num_tokens": 17074008.0, + "step": 7800 + }, + { + "entropy": 6.290230798721313, + "epoch": 8.329951948745329, + "grad_norm": 1.203125, + "learning_rate": 8.738087548904467e-05, + "loss": 5.426, + "mean_token_accuracy": 0.18245502561330795, + "num_tokens": 17084541.0, + "step": 7805 + }, + { + "entropy": 6.289392805099487, + "epoch": 8.335290977042177, + "grad_norm": 1.2265625, + "learning_rate": 8.714785401715258e-05, + "loss": 5.4459, + "mean_token_accuracy": 0.1914304554462433, + "num_tokens": 17095094.0, + "step": 7810 + }, + { + "entropy": 6.31272611618042, + "epoch": 8.340630005339028, + "grad_norm": 1.1640625, + "learning_rate": 8.691549574329752e-05, + "loss": 5.4214, + "mean_token_accuracy": 0.19288700073957443, + "num_tokens": 17105985.0, + "step": 7815 + }, + { + "entropy": 6.292475700378418, + "epoch": 8.345969033635878, + "grad_norm": 1.234375, + "learning_rate": 8.668380148780319e-05, + "loss": 5.4225, + "mean_token_accuracy": 0.18336446732282638, + "num_tokens": 17116016.0, + "step": 7820 + }, + { + "entropy": 6.247875785827636, + "epoch": 8.351308061932729, + "grad_norm": 1.171875, + "learning_rate": 8.64527720686489e-05, + "loss": 5.4281, + "mean_token_accuracy": 0.19529077261686326, + "num_tokens": 17126484.0, + "step": 7825 + }, + { + "entropy": 6.305013608932495, + "epoch": 8.356647090229579, + "grad_norm": 1.25, + "learning_rate": 8.62224083014668e-05, + "loss": 5.4798, + "mean_token_accuracy": 0.19113296419382095, + "num_tokens": 17138108.0, + "step": 7830 + }, + { + "entropy": 6.316189479827881, + "epoch": 8.361986118526428, + "grad_norm": 1.1796875, + "learning_rate": 8.599271099953912e-05, + "loss": 5.4076, + "mean_token_accuracy": 0.1995265394449234, + "num_tokens": 17149224.0, + "step": 7835 + }, + { + "entropy": 6.284372425079345, + "epoch": 8.367325146823278, + "grad_norm": 1.234375, + "learning_rate": 8.576368097379502e-05, + "loss": 5.4442, + "mean_token_accuracy": 0.1908060133457184, + "num_tokens": 17161156.0, + "step": 7840 + }, + { + "entropy": 6.338185119628906, + "epoch": 8.372664175120129, + "grad_norm": 1.3359375, + "learning_rate": 8.553531903280815e-05, + "loss": 5.4417, + "mean_token_accuracy": 0.19008296579122544, + "num_tokens": 17171528.0, + "step": 7845 + }, + { + "entropy": 6.336772871017456, + "epoch": 8.378003203416979, + "grad_norm": 1.125, + "learning_rate": 8.530762598279318e-05, + "loss": 5.5014, + "mean_token_accuracy": 0.18084470331668853, + "num_tokens": 17181784.0, + "step": 7850 + }, + { + "entropy": 6.286856937408447, + "epoch": 8.383342231713828, + "grad_norm": 1.1171875, + "learning_rate": 8.508060262760353e-05, + "loss": 5.3487, + "mean_token_accuracy": 0.20462595373392106, + "num_tokens": 17192988.0, + "step": 7855 + }, + { + "entropy": 6.279626417160034, + "epoch": 8.388681260010678, + "grad_norm": 1.1484375, + "learning_rate": 8.485424976872835e-05, + "loss": 5.4212, + "mean_token_accuracy": 0.18943293690681456, + "num_tokens": 17203759.0, + "step": 7860 + }, + { + "entropy": 6.281919240951538, + "epoch": 8.394020288307528, + "grad_norm": 1.2421875, + "learning_rate": 8.46285682052895e-05, + "loss": 5.377, + "mean_token_accuracy": 0.20012870728969573, + "num_tokens": 17213768.0, + "step": 7865 + }, + { + "entropy": 6.262228155136109, + "epoch": 8.399359316604379, + "grad_norm": 1.15625, + "learning_rate": 8.44035587340391e-05, + "loss": 5.4503, + "mean_token_accuracy": 0.19287367165088654, + "num_tokens": 17225550.0, + "step": 7870 + }, + { + "entropy": 6.332665014266968, + "epoch": 8.404698344901227, + "grad_norm": 1.1796875, + "learning_rate": 8.417922214935621e-05, + "loss": 5.462, + "mean_token_accuracy": 0.18738492280244828, + "num_tokens": 17235969.0, + "step": 7875 + }, + { + "entropy": 6.258744144439698, + "epoch": 8.410037373198078, + "grad_norm": 1.2109375, + "learning_rate": 8.395555924324457e-05, + "loss": 5.3671, + "mean_token_accuracy": 0.20065730661153794, + "num_tokens": 17247529.0, + "step": 7880 + }, + { + "entropy": 6.278067016601563, + "epoch": 8.415376401494928, + "grad_norm": 1.109375, + "learning_rate": 8.37325708053294e-05, + "loss": 5.4302, + "mean_token_accuracy": 0.19352214634418488, + "num_tokens": 17258971.0, + "step": 7885 + }, + { + "entropy": 6.2095043659210205, + "epoch": 8.420715429791779, + "grad_norm": 1.421875, + "learning_rate": 8.35102576228548e-05, + "loss": 5.3371, + "mean_token_accuracy": 0.20132233202457428, + "num_tokens": 17271281.0, + "step": 7890 + }, + { + "entropy": 6.227483892440796, + "epoch": 8.426054458088627, + "grad_norm": 1.34375, + "learning_rate": 8.328862048068089e-05, + "loss": 5.3125, + "mean_token_accuracy": 0.19799865186214446, + "num_tokens": 17281419.0, + "step": 7895 + }, + { + "entropy": 6.268981170654297, + "epoch": 8.431393486385478, + "grad_norm": 1.078125, + "learning_rate": 8.306766016128125e-05, + "loss": 5.37, + "mean_token_accuracy": 0.19525525271892546, + "num_tokens": 17292867.0, + "step": 7900 + }, + { + "entropy": 6.299656820297241, + "epoch": 8.436732514682328, + "grad_norm": 1.3125, + "learning_rate": 8.284737744473972e-05, + "loss": 5.426, + "mean_token_accuracy": 0.19533834755420684, + "num_tokens": 17303565.0, + "step": 7905 + }, + { + "entropy": 6.247980737686158, + "epoch": 8.442071542979178, + "grad_norm": 1.2265625, + "learning_rate": 8.26277731087482e-05, + "loss": 5.3546, + "mean_token_accuracy": 0.18990732878446578, + "num_tokens": 17315107.0, + "step": 7910 + }, + { + "entropy": 6.323516082763672, + "epoch": 8.447410571276027, + "grad_norm": 1.1796875, + "learning_rate": 8.240884792860336e-05, + "loss": 5.4517, + "mean_token_accuracy": 0.18722765147686005, + "num_tokens": 17326606.0, + "step": 7915 + }, + { + "entropy": 6.2622026920318605, + "epoch": 8.452749599572877, + "grad_norm": 1.09375, + "learning_rate": 8.219060267720427e-05, + "loss": 5.4435, + "mean_token_accuracy": 0.18907711058855056, + "num_tokens": 17337503.0, + "step": 7920 + }, + { + "entropy": 6.281539106369019, + "epoch": 8.458088627869728, + "grad_norm": 1.25, + "learning_rate": 8.197303812504968e-05, + "loss": 5.3781, + "mean_token_accuracy": 0.19827369153499602, + "num_tokens": 17347697.0, + "step": 7925 + }, + { + "entropy": 6.314615678787232, + "epoch": 8.463427656166578, + "grad_norm": 1.15625, + "learning_rate": 8.175615504023494e-05, + "loss": 5.5319, + "mean_token_accuracy": 0.17755035161972046, + "num_tokens": 17359656.0, + "step": 7930 + }, + { + "entropy": 6.286178731918335, + "epoch": 8.468766684463427, + "grad_norm": 1.265625, + "learning_rate": 8.153995418844974e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.191170571744442, + "num_tokens": 17370869.0, + "step": 7935 + }, + { + "entropy": 6.290740489959717, + "epoch": 8.474105712760277, + "grad_norm": 1.2109375, + "learning_rate": 8.132443633297508e-05, + "loss": 5.3663, + "mean_token_accuracy": 0.20106685310602188, + "num_tokens": 17380716.0, + "step": 7940 + }, + { + "entropy": 6.300388383865356, + "epoch": 8.479444741057128, + "grad_norm": 1.2265625, + "learning_rate": 8.110960223468077e-05, + "loss": 5.4171, + "mean_token_accuracy": 0.1983788177371025, + "num_tokens": 17392012.0, + "step": 7945 + }, + { + "entropy": 6.256002759933471, + "epoch": 8.484783769353978, + "grad_norm": 1.09375, + "learning_rate": 8.089545265202258e-05, + "loss": 5.3892, + "mean_token_accuracy": 0.19373163133859633, + "num_tokens": 17403199.0, + "step": 7950 + }, + { + "entropy": 6.30955057144165, + "epoch": 8.490122797650827, + "grad_norm": 1.21875, + "learning_rate": 8.068198834103967e-05, + "loss": 5.4173, + "mean_token_accuracy": 0.19167587906122208, + "num_tokens": 17414020.0, + "step": 7955 + }, + { + "entropy": 6.248732852935791, + "epoch": 8.495461825947677, + "grad_norm": 1.3359375, + "learning_rate": 8.046921005535198e-05, + "loss": 5.4111, + "mean_token_accuracy": 0.19576088786125184, + "num_tokens": 17425460.0, + "step": 7960 + }, + { + "entropy": 6.26835789680481, + "epoch": 8.500800854244527, + "grad_norm": 1.1015625, + "learning_rate": 8.02571185461574e-05, + "loss": 5.3683, + "mean_token_accuracy": 0.19737352728843688, + "num_tokens": 17435819.0, + "step": 7965 + }, + { + "entropy": 6.298630714416504, + "epoch": 8.506139882541378, + "grad_norm": 1.3125, + "learning_rate": 8.004571456222928e-05, + "loss": 5.4343, + "mean_token_accuracy": 0.1900707334280014, + "num_tokens": 17446000.0, + "step": 7970 + }, + { + "entropy": 6.339548397064209, + "epoch": 8.511478910838228, + "grad_norm": 1.1171875, + "learning_rate": 7.983499884991356e-05, + "loss": 5.4799, + "mean_token_accuracy": 0.18726177364587784, + "num_tokens": 17456986.0, + "step": 7975 + }, + { + "entropy": 6.317312383651734, + "epoch": 8.516817939135077, + "grad_norm": 1.2734375, + "learning_rate": 7.962497215312662e-05, + "loss": 5.4299, + "mean_token_accuracy": 0.19350540190935134, + "num_tokens": 17467144.0, + "step": 7980 + }, + { + "entropy": 6.330316781997681, + "epoch": 8.522156967431927, + "grad_norm": 1.21875, + "learning_rate": 7.94156352133518e-05, + "loss": 5.4731, + "mean_token_accuracy": 0.1904843494296074, + "num_tokens": 17479243.0, + "step": 7985 + }, + { + "entropy": 6.309084367752075, + "epoch": 8.527495995728778, + "grad_norm": 1.1875, + "learning_rate": 7.920698876963784e-05, + "loss": 5.3797, + "mean_token_accuracy": 0.19125119149684905, + "num_tokens": 17490447.0, + "step": 7990 + }, + { + "entropy": 6.285092973709107, + "epoch": 8.532835024025628, + "grad_norm": 1.2109375, + "learning_rate": 7.899903355859534e-05, + "loss": 5.4727, + "mean_token_accuracy": 0.18608825355768205, + "num_tokens": 17500464.0, + "step": 7995 + }, + { + "entropy": 6.267555618286133, + "epoch": 8.538174052322477, + "grad_norm": 1.5546875, + "learning_rate": 7.879177031439487e-05, + "loss": 5.4077, + "mean_token_accuracy": 0.1957908973097801, + "num_tokens": 17510189.0, + "step": 8000 + }, + { + "epoch": 8.538174052322477, + "eval_entropy": 6.129665725262134, + "eval_loss": 6.549795627593994, + "eval_mean_token_accuracy": 0.13511817216292604, + "eval_num_tokens": 17510189.0, + "eval_runtime": 1.8063, + "eval_samples_per_second": 1705.136, + "eval_steps_per_second": 213.142, + "step": 8000 + }, + { + "entropy": 6.260827922821045, + "epoch": 8.543513080619327, + "grad_norm": 1.2421875, + "learning_rate": 7.858519976876375e-05, + "loss": 5.4092, + "mean_token_accuracy": 0.19452549070119857, + "num_tokens": 17521622.0, + "step": 8005 + }, + { + "entropy": 6.289570903778076, + "epoch": 8.548852108916178, + "grad_norm": 1.265625, + "learning_rate": 7.837932265098407e-05, + "loss": 5.3852, + "mean_token_accuracy": 0.1945295363664627, + "num_tokens": 17532483.0, + "step": 8010 + }, + { + "entropy": 6.254086351394653, + "epoch": 8.554191137213028, + "grad_norm": 1.171875, + "learning_rate": 7.817413968788965e-05, + "loss": 5.4318, + "mean_token_accuracy": 0.19627286940813066, + "num_tokens": 17543402.0, + "step": 8015 + }, + { + "entropy": 6.224242401123047, + "epoch": 8.559530165509877, + "grad_norm": 1.2265625, + "learning_rate": 7.796965160386362e-05, + "loss": 5.3644, + "mean_token_accuracy": 0.20089459866285325, + "num_tokens": 17554395.0, + "step": 8020 + }, + { + "entropy": 6.309196805953979, + "epoch": 8.564869193806727, + "grad_norm": 1.1953125, + "learning_rate": 7.776585912083605e-05, + "loss": 5.4384, + "mean_token_accuracy": 0.1892755374312401, + "num_tokens": 17566481.0, + "step": 8025 + }, + { + "entropy": 6.273343563079834, + "epoch": 8.570208222103577, + "grad_norm": 1.3046875, + "learning_rate": 7.756276295828108e-05, + "loss": 5.2555, + "mean_token_accuracy": 0.1954508826136589, + "num_tokens": 17576807.0, + "step": 8030 + }, + { + "entropy": 6.303921890258789, + "epoch": 8.575547250400428, + "grad_norm": 1.265625, + "learning_rate": 7.736036383321467e-05, + "loss": 5.3849, + "mean_token_accuracy": 0.20346123427152635, + "num_tokens": 17587176.0, + "step": 8035 + }, + { + "entropy": 6.255138206481933, + "epoch": 8.580886278697276, + "grad_norm": 1.21875, + "learning_rate": 7.715866246019181e-05, + "loss": 5.3759, + "mean_token_accuracy": 0.1968400612473488, + "num_tokens": 17598681.0, + "step": 8040 + }, + { + "entropy": 6.262888479232788, + "epoch": 8.586225306994127, + "grad_norm": 1.2421875, + "learning_rate": 7.695765955130439e-05, + "loss": 5.4428, + "mean_token_accuracy": 0.1876814156770706, + "num_tokens": 17611782.0, + "step": 8045 + }, + { + "entropy": 6.342615556716919, + "epoch": 8.591564335290977, + "grad_norm": 1.234375, + "learning_rate": 7.675735581617799e-05, + "loss": 5.3968, + "mean_token_accuracy": 0.1906011000275612, + "num_tokens": 17623422.0, + "step": 8050 + }, + { + "entropy": 6.258514022827148, + "epoch": 8.596903363587828, + "grad_norm": 1.015625, + "learning_rate": 7.655775196197017e-05, + "loss": 5.3518, + "mean_token_accuracy": 0.20063089579343796, + "num_tokens": 17635844.0, + "step": 8055 + }, + { + "entropy": 6.334230518341064, + "epoch": 8.602242391884676, + "grad_norm": 1.234375, + "learning_rate": 7.635884869336753e-05, + "loss": 5.4009, + "mean_token_accuracy": 0.19301522970199586, + "num_tokens": 17646476.0, + "step": 8060 + }, + { + "entropy": 6.269136762619018, + "epoch": 8.607581420181527, + "grad_norm": 1.109375, + "learning_rate": 7.616064671258323e-05, + "loss": 5.3929, + "mean_token_accuracy": 0.19156181663274766, + "num_tokens": 17658601.0, + "step": 8065 + }, + { + "entropy": 6.231473970413208, + "epoch": 8.612920448478377, + "grad_norm": 1.1171875, + "learning_rate": 7.596314671935467e-05, + "loss": 5.32, + "mean_token_accuracy": 0.1986356794834137, + "num_tokens": 17669287.0, + "step": 8070 + }, + { + "entropy": 6.267216491699219, + "epoch": 8.618259476775227, + "grad_norm": 1.28125, + "learning_rate": 7.576634941094082e-05, + "loss": 5.3243, + "mean_token_accuracy": 0.19997939467430115, + "num_tokens": 17679545.0, + "step": 8075 + }, + { + "entropy": 6.307940292358398, + "epoch": 8.623598505072078, + "grad_norm": 1.3203125, + "learning_rate": 7.557025548212012e-05, + "loss": 5.4149, + "mean_token_accuracy": 0.1952625036239624, + "num_tokens": 17689779.0, + "step": 8080 + }, + { + "entropy": 6.272298049926758, + "epoch": 8.628937533368926, + "grad_norm": 1.1796875, + "learning_rate": 7.537486562518735e-05, + "loss": 5.4555, + "mean_token_accuracy": 0.1893584817647934, + "num_tokens": 17702643.0, + "step": 8085 + }, + { + "entropy": 6.264082765579223, + "epoch": 8.634276561665777, + "grad_norm": 1.265625, + "learning_rate": 7.518018052995208e-05, + "loss": 5.4366, + "mean_token_accuracy": 0.19213759452104567, + "num_tokens": 17713166.0, + "step": 8090 + }, + { + "entropy": 6.306223630905151, + "epoch": 8.639615589962627, + "grad_norm": 1.0546875, + "learning_rate": 7.498620088373544e-05, + "loss": 5.452, + "mean_token_accuracy": 0.1918992280960083, + "num_tokens": 17724822.0, + "step": 8095 + }, + { + "entropy": 6.263330554962158, + "epoch": 8.644954618259476, + "grad_norm": 1.171875, + "learning_rate": 7.479292737136828e-05, + "loss": 5.306, + "mean_token_accuracy": 0.1935967832803726, + "num_tokens": 17737078.0, + "step": 8100 + }, + { + "entropy": 6.295151472091675, + "epoch": 8.650293646556326, + "grad_norm": 1.2109375, + "learning_rate": 7.460036067518823e-05, + "loss": 5.4485, + "mean_token_accuracy": 0.18652090430259705, + "num_tokens": 17747670.0, + "step": 8105 + }, + { + "entropy": 6.289189004898072, + "epoch": 8.655632674853177, + "grad_norm": 1.203125, + "learning_rate": 7.44085014750378e-05, + "loss": 5.4625, + "mean_token_accuracy": 0.19083506464958191, + "num_tokens": 17758797.0, + "step": 8110 + }, + { + "entropy": 6.2896851062774655, + "epoch": 8.660971703150027, + "grad_norm": 1.2109375, + "learning_rate": 7.421735044826161e-05, + "loss": 5.4579, + "mean_token_accuracy": 0.19278580099344253, + "num_tokens": 17768713.0, + "step": 8115 + }, + { + "entropy": 6.365323209762574, + "epoch": 8.666310731446877, + "grad_norm": 1.2265625, + "learning_rate": 7.40269082697041e-05, + "loss": 5.4318, + "mean_token_accuracy": 0.19228217154741287, + "num_tokens": 17778964.0, + "step": 8120 + }, + { + "entropy": 6.255847215652466, + "epoch": 8.671649759743726, + "grad_norm": 1.1796875, + "learning_rate": 7.383717561170728e-05, + "loss": 5.3435, + "mean_token_accuracy": 0.20172299146652223, + "num_tokens": 17790108.0, + "step": 8125 + }, + { + "entropy": 6.313925886154175, + "epoch": 8.676988788040576, + "grad_norm": 1.1171875, + "learning_rate": 7.364815314410816e-05, + "loss": 5.4923, + "mean_token_accuracy": 0.19610096514225006, + "num_tokens": 17801626.0, + "step": 8130 + }, + { + "entropy": 6.339280319213867, + "epoch": 8.682327816337427, + "grad_norm": 1.140625, + "learning_rate": 7.345984153423656e-05, + "loss": 5.4846, + "mean_token_accuracy": 0.18328692018985748, + "num_tokens": 17812355.0, + "step": 8135 + }, + { + "entropy": 6.288567733764649, + "epoch": 8.687666844634277, + "grad_norm": 1.2890625, + "learning_rate": 7.327224144691255e-05, + "loss": 5.4559, + "mean_token_accuracy": 0.18972910493612288, + "num_tokens": 17822986.0, + "step": 8140 + }, + { + "entropy": 6.30386004447937, + "epoch": 8.693005872931126, + "grad_norm": 1.3828125, + "learning_rate": 7.30853535444444e-05, + "loss": 5.3695, + "mean_token_accuracy": 0.19032205194234847, + "num_tokens": 17833656.0, + "step": 8145 + }, + { + "entropy": 6.334438371658325, + "epoch": 8.698344901227976, + "grad_norm": 1.1484375, + "learning_rate": 7.289917848662582e-05, + "loss": 5.4056, + "mean_token_accuracy": 0.19864920377731324, + "num_tokens": 17844124.0, + "step": 8150 + }, + { + "entropy": 6.333331680297851, + "epoch": 8.703683929524827, + "grad_norm": 1.3046875, + "learning_rate": 7.271371693073408e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.19299320131540298, + "num_tokens": 17853528.0, + "step": 8155 + }, + { + "entropy": 6.215679454803467, + "epoch": 8.709022957821677, + "grad_norm": 1.25, + "learning_rate": 7.252896953152744e-05, + "loss": 5.3577, + "mean_token_accuracy": 0.1953199803829193, + "num_tokens": 17864599.0, + "step": 8160 + }, + { + "entropy": 6.3130731105804445, + "epoch": 8.714361986118526, + "grad_norm": 1.1875, + "learning_rate": 7.23449369412428e-05, + "loss": 5.4122, + "mean_token_accuracy": 0.19741948544979096, + "num_tokens": 17874829.0, + "step": 8165 + }, + { + "entropy": 6.300188207626343, + "epoch": 8.719701014415376, + "grad_norm": 1.265625, + "learning_rate": 7.216161980959363e-05, + "loss": 5.3857, + "mean_token_accuracy": 0.19758072048425673, + "num_tokens": 17884914.0, + "step": 8170 + }, + { + "entropy": 6.2661253929138185, + "epoch": 8.725040042712227, + "grad_norm": 1.2578125, + "learning_rate": 7.197901878376732e-05, + "loss": 5.3757, + "mean_token_accuracy": 0.1984149172902107, + "num_tokens": 17896156.0, + "step": 8175 + }, + { + "entropy": 6.25427360534668, + "epoch": 8.730379071009077, + "grad_norm": 1.265625, + "learning_rate": 7.179713450842338e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.18684110045433044, + "num_tokens": 17906446.0, + "step": 8180 + }, + { + "entropy": 6.279653835296631, + "epoch": 8.735718099305926, + "grad_norm": 1.125, + "learning_rate": 7.161596762569051e-05, + "loss": 5.4131, + "mean_token_accuracy": 0.18811364769935607, + "num_tokens": 17918488.0, + "step": 8185 + }, + { + "entropy": 6.2619095802307125, + "epoch": 8.741057127602776, + "grad_norm": 1.296875, + "learning_rate": 7.143551877516509e-05, + "loss": 5.415, + "mean_token_accuracy": 0.19475423395633698, + "num_tokens": 17928486.0, + "step": 8190 + }, + { + "entropy": 6.161016273498535, + "epoch": 8.746396155899626, + "grad_norm": 1.21875, + "learning_rate": 7.125578859390828e-05, + "loss": 5.3103, + "mean_token_accuracy": 0.2026986762881279, + "num_tokens": 17939036.0, + "step": 8195 + }, + { + "entropy": 6.322266101837158, + "epoch": 8.751735184196477, + "grad_norm": 1.25, + "learning_rate": 7.107677771644419e-05, + "loss": 5.4278, + "mean_token_accuracy": 0.19225548058748246, + "num_tokens": 17949610.0, + "step": 8200 + }, + { + "entropy": 6.283733224868774, + "epoch": 8.757074212493325, + "grad_norm": 1.265625, + "learning_rate": 7.089848677475735e-05, + "loss": 5.3987, + "mean_token_accuracy": 0.19772477447986603, + "num_tokens": 17960110.0, + "step": 8205 + }, + { + "entropy": 6.319091415405273, + "epoch": 8.762413240790176, + "grad_norm": 1.328125, + "learning_rate": 7.072091639829079e-05, + "loss": 5.4614, + "mean_token_accuracy": 0.18673837184906006, + "num_tokens": 17970293.0, + "step": 8210 + }, + { + "entropy": 6.276460742950439, + "epoch": 8.767752269087026, + "grad_norm": 1.34375, + "learning_rate": 7.054406721394338e-05, + "loss": 5.4007, + "mean_token_accuracy": 0.19787448197603225, + "num_tokens": 17981615.0, + "step": 8215 + }, + { + "entropy": 6.209004163742065, + "epoch": 8.773091297383877, + "grad_norm": 1.328125, + "learning_rate": 7.036793984606808e-05, + "loss": 5.2191, + "mean_token_accuracy": 0.20935241430997847, + "num_tokens": 17992083.0, + "step": 8220 + }, + { + "entropy": 6.287459468841552, + "epoch": 8.778430325680727, + "grad_norm": 1.2421875, + "learning_rate": 7.019253491646954e-05, + "loss": 5.4236, + "mean_token_accuracy": 0.1912770926952362, + "num_tokens": 18003374.0, + "step": 8225 + }, + { + "entropy": 6.320337247848511, + "epoch": 8.783769353977576, + "grad_norm": 1.109375, + "learning_rate": 7.001785304440168e-05, + "loss": 5.4061, + "mean_token_accuracy": 0.19370096325874328, + "num_tokens": 18015450.0, + "step": 8230 + }, + { + "entropy": 6.319497776031494, + "epoch": 8.789108382274426, + "grad_norm": 1.15625, + "learning_rate": 6.9843894846566e-05, + "loss": 5.4613, + "mean_token_accuracy": 0.19284655153751373, + "num_tokens": 18026387.0, + "step": 8235 + }, + { + "entropy": 6.297713279724121, + "epoch": 8.794447410571276, + "grad_norm": 1.1328125, + "learning_rate": 6.967066093710892e-05, + "loss": 5.543, + "mean_token_accuracy": 0.18906300365924836, + "num_tokens": 18038387.0, + "step": 8240 + }, + { + "entropy": 6.267315292358399, + "epoch": 8.799786438868125, + "grad_norm": 1.2421875, + "learning_rate": 6.949815192761993e-05, + "loss": 5.3562, + "mean_token_accuracy": 0.19610127210617065, + "num_tokens": 18048957.0, + "step": 8245 + }, + { + "entropy": 6.1813019752502445, + "epoch": 8.805125467164975, + "grad_norm": 1.34375, + "learning_rate": 6.932636842712914e-05, + "loss": 5.33, + "mean_token_accuracy": 0.2018466502428055, + "num_tokens": 18059750.0, + "step": 8250 + }, + { + "entropy": 6.306232166290283, + "epoch": 8.810464495461826, + "grad_norm": 1.25, + "learning_rate": 6.915531104210554e-05, + "loss": 5.4618, + "mean_token_accuracy": 0.18518505543470382, + "num_tokens": 18070321.0, + "step": 8255 + }, + { + "entropy": 6.278579187393189, + "epoch": 8.815803523758676, + "grad_norm": 1.09375, + "learning_rate": 6.898498037645451e-05, + "loss": 5.4655, + "mean_token_accuracy": 0.18751134872436523, + "num_tokens": 18082322.0, + "step": 8260 + }, + { + "entropy": 6.325710391998291, + "epoch": 8.821142552055527, + "grad_norm": 1.171875, + "learning_rate": 6.881537703151575e-05, + "loss": 5.3813, + "mean_token_accuracy": 0.1982166588306427, + "num_tokens": 18093379.0, + "step": 8265 + }, + { + "entropy": 6.189786672592163, + "epoch": 8.826481580352375, + "grad_norm": 1.25, + "learning_rate": 6.864650160606131e-05, + "loss": 5.2825, + "mean_token_accuracy": 0.20476205050945281, + "num_tokens": 18105365.0, + "step": 8270 + }, + { + "entropy": 6.2697841167449955, + "epoch": 8.831820608649226, + "grad_norm": 1.21875, + "learning_rate": 6.847835469629332e-05, + "loss": 5.3277, + "mean_token_accuracy": 0.2016316384077072, + "num_tokens": 18116058.0, + "step": 8275 + }, + { + "entropy": 6.314205932617187, + "epoch": 8.837159636946076, + "grad_norm": 1.265625, + "learning_rate": 6.831093689584193e-05, + "loss": 5.4293, + "mean_token_accuracy": 0.19054114669561387, + "num_tokens": 18126771.0, + "step": 8280 + }, + { + "entropy": 6.288633871078491, + "epoch": 8.842498665242926, + "grad_norm": 1.2421875, + "learning_rate": 6.814424879576321e-05, + "loss": 5.423, + "mean_token_accuracy": 0.19208714216947556, + "num_tokens": 18137384.0, + "step": 8285 + }, + { + "entropy": 6.259862089157105, + "epoch": 8.847837693539775, + "grad_norm": 1.203125, + "learning_rate": 6.797829098453717e-05, + "loss": 5.4301, + "mean_token_accuracy": 0.19221352338790892, + "num_tokens": 18148230.0, + "step": 8290 + }, + { + "entropy": 6.305414438247681, + "epoch": 8.853176721836626, + "grad_norm": 1.2109375, + "learning_rate": 6.781306404806544e-05, + "loss": 5.5183, + "mean_token_accuracy": 0.18625222146511078, + "num_tokens": 18159184.0, + "step": 8295 + }, + { + "entropy": 6.286434888839722, + "epoch": 8.858515750133476, + "grad_norm": 1.15625, + "learning_rate": 6.764856856966952e-05, + "loss": 5.416, + "mean_token_accuracy": 0.1962931737303734, + "num_tokens": 18170336.0, + "step": 8300 + }, + { + "entropy": 6.335140943527222, + "epoch": 8.863854778430326, + "grad_norm": 1.265625, + "learning_rate": 6.748480513008843e-05, + "loss": 5.4185, + "mean_token_accuracy": 0.19309814125299454, + "num_tokens": 18181428.0, + "step": 8305 + }, + { + "entropy": 6.326192474365234, + "epoch": 8.869193806727175, + "grad_norm": 1.203125, + "learning_rate": 6.732177430747685e-05, + "loss": 5.4468, + "mean_token_accuracy": 0.19147571921348572, + "num_tokens": 18192452.0, + "step": 8310 + }, + { + "entropy": 6.315118980407715, + "epoch": 8.874532835024025, + "grad_norm": 1.21875, + "learning_rate": 6.715947667740298e-05, + "loss": 5.4147, + "mean_token_accuracy": 0.19402022659778595, + "num_tokens": 18203374.0, + "step": 8315 + }, + { + "entropy": 6.273036479949951, + "epoch": 8.879871863320876, + "grad_norm": 1.1875, + "learning_rate": 6.699791281284645e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.19211985021829606, + "num_tokens": 18214420.0, + "step": 8320 + }, + { + "entropy": 6.283283376693726, + "epoch": 8.885210891617726, + "grad_norm": 1.1875, + "learning_rate": 6.68370832841966e-05, + "loss": 5.4441, + "mean_token_accuracy": 0.1880252718925476, + "num_tokens": 18226176.0, + "step": 8325 + }, + { + "entropy": 6.352131271362305, + "epoch": 8.890549919914575, + "grad_norm": 1.3125, + "learning_rate": 6.667698865924998e-05, + "loss": 5.4257, + "mean_token_accuracy": 0.19260345548391342, + "num_tokens": 18236792.0, + "step": 8330 + }, + { + "entropy": 6.2733378410339355, + "epoch": 8.895888948211425, + "grad_norm": 1.1796875, + "learning_rate": 6.651762950320893e-05, + "loss": 5.4312, + "mean_token_accuracy": 0.19283699989318848, + "num_tokens": 18248047.0, + "step": 8335 + }, + { + "entropy": 6.2758337497711185, + "epoch": 8.901227976508276, + "grad_norm": 1.1328125, + "learning_rate": 6.635900637867902e-05, + "loss": 5.376, + "mean_token_accuracy": 0.2016781061887741, + "num_tokens": 18258093.0, + "step": 8340 + }, + { + "entropy": 6.266999101638794, + "epoch": 8.906567004805126, + "grad_norm": 1.3515625, + "learning_rate": 6.620111984566739e-05, + "loss": 5.3901, + "mean_token_accuracy": 0.19536768645048141, + "num_tokens": 18268649.0, + "step": 8345 + }, + { + "entropy": 6.2864086627960205, + "epoch": 8.911906033101975, + "grad_norm": 1.1796875, + "learning_rate": 6.604397046158066e-05, + "loss": 5.3957, + "mean_token_accuracy": 0.19759741872549058, + "num_tokens": 18278127.0, + "step": 8350 + }, + { + "entropy": 6.262919664382935, + "epoch": 8.917245061398825, + "grad_norm": 1.21875, + "learning_rate": 6.588755878122318e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19958573281764985, + "num_tokens": 18289288.0, + "step": 8355 + }, + { + "entropy": 6.278789710998535, + "epoch": 8.922584089695675, + "grad_norm": 1.109375, + "learning_rate": 6.573188535679464e-05, + "loss": 5.3924, + "mean_token_accuracy": 0.19610107094049453, + "num_tokens": 18299482.0, + "step": 8360 + }, + { + "entropy": 6.237138795852661, + "epoch": 8.927923117992526, + "grad_norm": 1.2421875, + "learning_rate": 6.557695073788853e-05, + "loss": 5.2958, + "mean_token_accuracy": 0.20035430788993835, + "num_tokens": 18309499.0, + "step": 8365 + }, + { + "entropy": 6.274085283279419, + "epoch": 8.933262146289376, + "grad_norm": 1.1796875, + "learning_rate": 6.542275547149005e-05, + "loss": 5.3748, + "mean_token_accuracy": 0.19981057792901993, + "num_tokens": 18320106.0, + "step": 8370 + }, + { + "entropy": 6.286875486373901, + "epoch": 8.938601174586225, + "grad_norm": 1.203125, + "learning_rate": 6.526930010197412e-05, + "loss": 5.4601, + "mean_token_accuracy": 0.1885668605566025, + "num_tokens": 18331657.0, + "step": 8375 + }, + { + "entropy": 6.303912401199341, + "epoch": 8.943940202883075, + "grad_norm": 1.1875, + "learning_rate": 6.511658517110346e-05, + "loss": 5.5049, + "mean_token_accuracy": 0.18762866109609605, + "num_tokens": 18342951.0, + "step": 8380 + }, + { + "entropy": 6.258378219604492, + "epoch": 8.949279231179926, + "grad_norm": 1.3203125, + "learning_rate": 6.496461121802679e-05, + "loss": 5.3829, + "mean_token_accuracy": 0.1956523537635803, + "num_tokens": 18353515.0, + "step": 8385 + }, + { + "entropy": 6.277213478088379, + "epoch": 8.954618259476776, + "grad_norm": 1.2890625, + "learning_rate": 6.48133787792769e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.19595738202333451, + "num_tokens": 18365139.0, + "step": 8390 + }, + { + "entropy": 6.267573308944702, + "epoch": 8.959957287773625, + "grad_norm": 1.1328125, + "learning_rate": 6.46628883887686e-05, + "loss": 5.4344, + "mean_token_accuracy": 0.19399414509534835, + "num_tokens": 18376426.0, + "step": 8395 + }, + { + "entropy": 6.318247222900391, + "epoch": 8.965296316070475, + "grad_norm": 1.0546875, + "learning_rate": 6.451314057779708e-05, + "loss": 5.4031, + "mean_token_accuracy": 0.1949224889278412, + "num_tokens": 18387643.0, + "step": 8400 + }, + { + "entropy": 6.2453080177307125, + "epoch": 8.970635344367325, + "grad_norm": 1.34375, + "learning_rate": 6.436413587503588e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19522539228200914, + "num_tokens": 18397625.0, + "step": 8405 + }, + { + "entropy": 6.24573826789856, + "epoch": 8.975974372664176, + "grad_norm": 1.125, + "learning_rate": 6.421587480653497e-05, + "loss": 5.4012, + "mean_token_accuracy": 0.19939807951450347, + "num_tokens": 18410033.0, + "step": 8410 + }, + { + "entropy": 6.2669624328613285, + "epoch": 8.981313400961024, + "grad_norm": 1.140625, + "learning_rate": 6.406835789571905e-05, + "loss": 5.3825, + "mean_token_accuracy": 0.19407907128334045, + "num_tokens": 18421020.0, + "step": 8415 + }, + { + "entropy": 6.294377422332763, + "epoch": 8.986652429257875, + "grad_norm": 1.0703125, + "learning_rate": 6.392158566338561e-05, + "loss": 5.4217, + "mean_token_accuracy": 0.19481519758701324, + "num_tokens": 18432884.0, + "step": 8420 + }, + { + "entropy": 6.332372999191284, + "epoch": 8.991991457554725, + "grad_norm": 1.1640625, + "learning_rate": 6.377555862770311e-05, + "loss": 5.4752, + "mean_token_accuracy": 0.17780984342098236, + "num_tokens": 18443478.0, + "step": 8425 + }, + { + "entropy": 6.326786518096924, + "epoch": 8.997330485851576, + "grad_norm": 1.1953125, + "learning_rate": 6.363027730420915e-05, + "loss": 5.4363, + "mean_token_accuracy": 0.19262375235557555, + "num_tokens": 18453943.0, + "step": 8430 + }, + { + "entropy": 6.3219667010837135, + "epoch": 9.00213561131874, + "grad_norm": 1.1171875, + "learning_rate": 6.348574220580863e-05, + "loss": 5.3917, + "mean_token_accuracy": 0.19410793317688835, + "num_tokens": 18464880.0, + "step": 8435 + }, + { + "entropy": 6.291064596176147, + "epoch": 9.00747463961559, + "grad_norm": 1.109375, + "learning_rate": 6.334195384277198e-05, + "loss": 5.3365, + "mean_token_accuracy": 0.19902778118848802, + "num_tokens": 18475884.0, + "step": 8440 + }, + { + "entropy": 6.322910499572754, + "epoch": 9.01281366791244, + "grad_norm": 1.328125, + "learning_rate": 6.319891272273333e-05, + "loss": 5.397, + "mean_token_accuracy": 0.19973329156637193, + "num_tokens": 18486900.0, + "step": 8445 + }, + { + "entropy": 6.2828192710876465, + "epoch": 9.01815269620929, + "grad_norm": 1.265625, + "learning_rate": 6.30566193506887e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.1961638391017914, + "num_tokens": 18497070.0, + "step": 8450 + }, + { + "entropy": 6.302260255813598, + "epoch": 9.02349172450614, + "grad_norm": 1.1640625, + "learning_rate": 6.291507422899425e-05, + "loss": 5.4474, + "mean_token_accuracy": 0.19043018370866777, + "num_tokens": 18508778.0, + "step": 8455 + }, + { + "entropy": 6.300608444213867, + "epoch": 9.028830752802989, + "grad_norm": 1.1953125, + "learning_rate": 6.277427785736455e-05, + "loss": 5.4072, + "mean_token_accuracy": 0.1943545952439308, + "num_tokens": 18521076.0, + "step": 8460 + }, + { + "entropy": 6.291013383865357, + "epoch": 9.03416978109984, + "grad_norm": 1.2109375, + "learning_rate": 6.26342307328707e-05, + "loss": 5.3299, + "mean_token_accuracy": 0.19972898364067077, + "num_tokens": 18532582.0, + "step": 8465 + }, + { + "entropy": 6.308874654769897, + "epoch": 9.03950880939669, + "grad_norm": 1.25, + "learning_rate": 6.249493334993873e-05, + "loss": 5.3802, + "mean_token_accuracy": 0.19778040051460266, + "num_tokens": 18543263.0, + "step": 8470 + }, + { + "entropy": 6.294857692718506, + "epoch": 9.04484783769354, + "grad_norm": 1.375, + "learning_rate": 6.235638620034756e-05, + "loss": 5.4241, + "mean_token_accuracy": 0.1885809302330017, + "num_tokens": 18554367.0, + "step": 8475 + }, + { + "entropy": 6.267254829406738, + "epoch": 9.05018686599039, + "grad_norm": 1.2421875, + "learning_rate": 6.221858977322774e-05, + "loss": 5.352, + "mean_token_accuracy": 0.20446752309799193, + "num_tokens": 18565075.0, + "step": 8480 + }, + { + "entropy": 6.256584358215332, + "epoch": 9.05552589428724, + "grad_norm": 1.203125, + "learning_rate": 6.208154455505918e-05, + "loss": 5.3011, + "mean_token_accuracy": 0.20374154597520827, + "num_tokens": 18575166.0, + "step": 8485 + }, + { + "entropy": 6.303496646881103, + "epoch": 9.06086492258409, + "grad_norm": 1.125, + "learning_rate": 6.194525102966997e-05, + "loss": 5.4337, + "mean_token_accuracy": 0.19414404034614563, + "num_tokens": 18586975.0, + "step": 8490 + }, + { + "entropy": 6.254971933364868, + "epoch": 9.06620395088094, + "grad_norm": 1.1953125, + "learning_rate": 6.180970967823415e-05, + "loss": 5.2621, + "mean_token_accuracy": 0.21001349538564681, + "num_tokens": 18598524.0, + "step": 8495 + }, + { + "entropy": 6.264356327056885, + "epoch": 9.07154297917779, + "grad_norm": 1.203125, + "learning_rate": 6.167492097927051e-05, + "loss": 5.3619, + "mean_token_accuracy": 0.19953151643276215, + "num_tokens": 18609099.0, + "step": 8500 + }, + { + "epoch": 9.07154297917779, + "eval_entropy": 6.114785921418822, + "eval_loss": 6.549992561340332, + "eval_mean_token_accuracy": 0.13512441571076195, + "eval_num_tokens": 18609099.0, + "eval_runtime": 1.8163, + "eval_samples_per_second": 1695.776, + "eval_steps_per_second": 211.972, + "step": 8500 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4046702726246400.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-8500/training_args.bin b/checkpoint-8500/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-8500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-9000/added_tokens.json b/checkpoint-9000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-9000/config.json b/checkpoint-9000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-9000/generation_config.json b/checkpoint-9000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9000/model.safetensors b/checkpoint-9000/model.safetensors new file mode 100644 index 0000000..04bdaea --- /dev/null +++ b/checkpoint-9000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6da738fdf5aa2e8afe50efc67f93eac9013c0e959e08f0bd2208db6b00ded3f1 +size 78179408 diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth new file mode 100644 index 0000000..b9a7540 --- /dev/null +++ b/checkpoint-9000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:02d943bfefb6c40fe6e515c898463182767ed22d45d933a2b90adaae41f6b835 +size 14645 diff --git a/checkpoint-9000/special_tokens_map.json b/checkpoint-9000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9000/spiece.model b/checkpoint-9000/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-9000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-9000/tokenizer_config.json b/checkpoint-9000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9000/trainer_state.json b/checkpoint-9000/trainer_state.json new file mode 100644 index 0000000..38153c6 --- /dev/null +++ b/checkpoint-9000/trainer_state.json @@ -0,0 +1,18232 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.605445808862786, + "eval_steps": 500, + "global_step": 9000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + }, + { + "entropy": 6.271717882156372, + "epoch": 6.942872397223705, + "grad_norm": 1.125, + "learning_rate": 0.00016761451107534249, + "loss": 5.5262, + "mean_token_accuracy": 0.19075504094362258, + "num_tokens": 14241584.0, + "step": 6505 + }, + { + "entropy": 6.278272104263306, + "epoch": 6.948211425520555, + "grad_norm": 1.1640625, + "learning_rate": 0.00016724319549474534, + "loss": 5.5543, + "mean_token_accuracy": 0.19189462959766387, + "num_tokens": 14252571.0, + "step": 6510 + }, + { + "entropy": 6.322755002975464, + "epoch": 6.953550453817405, + "grad_norm": 1.1796875, + "learning_rate": 0.00016687226034153624, + "loss": 5.6389, + "mean_token_accuracy": 0.17759112566709517, + "num_tokens": 14263470.0, + "step": 6515 + }, + { + "entropy": 6.299075269699097, + "epoch": 6.958889482114255, + "grad_norm": 1.1640625, + "learning_rate": 0.00016650170692527407, + "loss": 5.5459, + "mean_token_accuracy": 0.1799885153770447, + "num_tokens": 14274241.0, + "step": 6520 + }, + { + "entropy": 6.338451814651489, + "epoch": 6.964228510411105, + "grad_norm": 1.234375, + "learning_rate": 0.0001661315365541702, + "loss": 5.5802, + "mean_token_accuracy": 0.1735849931836128, + "num_tokens": 14284542.0, + "step": 6525 + }, + { + "entropy": 6.280116224288941, + "epoch": 6.969567538707955, + "grad_norm": 1.09375, + "learning_rate": 0.00016576175053508357, + "loss": 5.5888, + "mean_token_accuracy": 0.1822688788175583, + "num_tokens": 14295504.0, + "step": 6530 + }, + { + "entropy": 6.25789065361023, + "epoch": 6.974906567004805, + "grad_norm": 1.1796875, + "learning_rate": 0.00016539235017351634, + "loss": 5.571, + "mean_token_accuracy": 0.18007161021232604, + "num_tokens": 14306575.0, + "step": 6535 + }, + { + "entropy": 6.347195148468018, + "epoch": 6.980245595301655, + "grad_norm": 1.3125, + "learning_rate": 0.00016502333677360887, + "loss": 5.5981, + "mean_token_accuracy": 0.17393214553594588, + "num_tokens": 14316677.0, + "step": 6540 + }, + { + "entropy": 6.3871876239776615, + "epoch": 6.9855846235985055, + "grad_norm": 1.1640625, + "learning_rate": 0.00016465471163813576, + "loss": 5.5593, + "mean_token_accuracy": 0.18010709881782533, + "num_tokens": 14327027.0, + "step": 6545 + }, + { + "entropy": 6.316414451599121, + "epoch": 6.990923651895355, + "grad_norm": 1.0390625, + "learning_rate": 0.00016428647606850033, + "loss": 5.5865, + "mean_token_accuracy": 0.18866724222898484, + "num_tokens": 14338771.0, + "step": 6550 + }, + { + "entropy": 6.340197610855102, + "epoch": 6.9962626801922045, + "grad_norm": 1.25, + "learning_rate": 0.00016391863136473118, + "loss": 5.5756, + "mean_token_accuracy": 0.17773306369781494, + "num_tokens": 14350028.0, + "step": 6555 + }, + { + "entropy": 6.26469612121582, + "epoch": 7.00106780565937, + "grad_norm": 1.0703125, + "learning_rate": 0.0001635511788254765, + "loss": 5.5193, + "mean_token_accuracy": 0.18587267564402687, + "num_tokens": 14359688.0, + "step": 6560 + }, + { + "entropy": 6.269435834884644, + "epoch": 7.00640683395622, + "grad_norm": 1.21875, + "learning_rate": 0.00016318411974800025, + "loss": 5.4091, + "mean_token_accuracy": 0.18694305717945098, + "num_tokens": 14369892.0, + "step": 6565 + }, + { + "entropy": 6.2558362007141115, + "epoch": 7.01174586225307, + "grad_norm": 1.078125, + "learning_rate": 0.00016281745542817716, + "loss": 5.3584, + "mean_token_accuracy": 0.192064106464386, + "num_tokens": 14381383.0, + "step": 6570 + }, + { + "entropy": 6.297444868087768, + "epoch": 7.01708489054992, + "grad_norm": 1.1640625, + "learning_rate": 0.0001624511871604884, + "loss": 5.4562, + "mean_token_accuracy": 0.192567777633667, + "num_tokens": 14391590.0, + "step": 6575 + }, + { + "entropy": 6.312979078292846, + "epoch": 7.02242391884677, + "grad_norm": 1.1640625, + "learning_rate": 0.00016208531623801702, + "loss": 5.3939, + "mean_token_accuracy": 0.1895030602812767, + "num_tokens": 14402345.0, + "step": 6580 + }, + { + "entropy": 6.3703536033630375, + "epoch": 7.02776294714362, + "grad_norm": 1.2421875, + "learning_rate": 0.00016171984395244276, + "loss": 5.4881, + "mean_token_accuracy": 0.18503127098083497, + "num_tokens": 14412769.0, + "step": 6585 + }, + { + "entropy": 6.305860710144043, + "epoch": 7.03310197544047, + "grad_norm": 1.21875, + "learning_rate": 0.00016135477159403866, + "loss": 5.4148, + "mean_token_accuracy": 0.2001012980937958, + "num_tokens": 14424509.0, + "step": 6590 + }, + { + "entropy": 6.392051410675049, + "epoch": 7.0384410037373195, + "grad_norm": 1.1015625, + "learning_rate": 0.00016099010045166537, + "loss": 5.5376, + "mean_token_accuracy": 0.18047535121440889, + "num_tokens": 14435189.0, + "step": 6595 + }, + { + "entropy": 6.353335762023926, + "epoch": 7.04378003203417, + "grad_norm": 1.140625, + "learning_rate": 0.0001606258318127674, + "loss": 5.5095, + "mean_token_accuracy": 0.1861751824617386, + "num_tokens": 14445676.0, + "step": 6600 + }, + { + "entropy": 6.348418712615967, + "epoch": 7.049119060331019, + "grad_norm": 1.25, + "learning_rate": 0.00016026196696336786, + "loss": 5.4904, + "mean_token_accuracy": 0.1838784009218216, + "num_tokens": 14456848.0, + "step": 6605 + }, + { + "entropy": 6.287606906890869, + "epoch": 7.05445808862787, + "grad_norm": 1.0390625, + "learning_rate": 0.00015989850718806483, + "loss": 5.4332, + "mean_token_accuracy": 0.18585668951272966, + "num_tokens": 14468939.0, + "step": 6610 + }, + { + "entropy": 6.322085952758789, + "epoch": 7.059797116924719, + "grad_norm": 1.265625, + "learning_rate": 0.00015953545377002593, + "loss": 5.5085, + "mean_token_accuracy": 0.18388541787862778, + "num_tokens": 14480341.0, + "step": 6615 + }, + { + "entropy": 6.3109293460845945, + "epoch": 7.06513614522157, + "grad_norm": 1.078125, + "learning_rate": 0.00015917280799098414, + "loss": 5.4129, + "mean_token_accuracy": 0.19869672060012816, + "num_tokens": 14491517.0, + "step": 6620 + }, + { + "entropy": 6.279620122909546, + "epoch": 7.070475173518419, + "grad_norm": 1.0546875, + "learning_rate": 0.0001588105711312336, + "loss": 5.4366, + "mean_token_accuracy": 0.18694413006305693, + "num_tokens": 14504351.0, + "step": 6625 + }, + { + "entropy": 6.318189525604248, + "epoch": 7.07581420181527, + "grad_norm": 1.0625, + "learning_rate": 0.00015844874446962448, + "loss": 5.5338, + "mean_token_accuracy": 0.18216532617807388, + "num_tokens": 14516431.0, + "step": 6630 + }, + { + "entropy": 6.295264530181885, + "epoch": 7.081153230112119, + "grad_norm": 1.09375, + "learning_rate": 0.000158087329283559, + "loss": 5.3816, + "mean_token_accuracy": 0.19511567950248718, + "num_tokens": 14527248.0, + "step": 6635 + }, + { + "entropy": 6.3042511463165285, + "epoch": 7.08649225840897, + "grad_norm": 1.25, + "learning_rate": 0.00015772632684898653, + "loss": 5.4665, + "mean_token_accuracy": 0.18800214529037476, + "num_tokens": 14538380.0, + "step": 6640 + }, + { + "entropy": 6.314582014083863, + "epoch": 7.09183128670582, + "grad_norm": 1.171875, + "learning_rate": 0.00015736573844039953, + "loss": 5.4482, + "mean_token_accuracy": 0.18293119072914124, + "num_tokens": 14549710.0, + "step": 6645 + }, + { + "entropy": 6.282787704467774, + "epoch": 7.0971703150026695, + "grad_norm": 1.171875, + "learning_rate": 0.00015700556533082826, + "loss": 5.4284, + "mean_token_accuracy": 0.1919356808066368, + "num_tokens": 14560623.0, + "step": 6650 + }, + { + "entropy": 6.293274068832398, + "epoch": 7.10250934329952, + "grad_norm": 1.140625, + "learning_rate": 0.00015664580879183737, + "loss": 5.5054, + "mean_token_accuracy": 0.1837783768773079, + "num_tokens": 14570816.0, + "step": 6655 + }, + { + "entropy": 6.316432905197144, + "epoch": 7.107848371596369, + "grad_norm": 1.1953125, + "learning_rate": 0.00015628647009352037, + "loss": 5.4329, + "mean_token_accuracy": 0.18765368163585663, + "num_tokens": 14582014.0, + "step": 6660 + }, + { + "entropy": 6.275792598724365, + "epoch": 7.11318739989322, + "grad_norm": 1.234375, + "learning_rate": 0.00015592755050449603, + "loss": 5.3662, + "mean_token_accuracy": 0.19992139488458632, + "num_tokens": 14592100.0, + "step": 6665 + }, + { + "entropy": 6.173001956939697, + "epoch": 7.118526428190069, + "grad_norm": 1.0859375, + "learning_rate": 0.00015556905129190309, + "loss": 5.3337, + "mean_token_accuracy": 0.20151432305574418, + "num_tokens": 14603894.0, + "step": 6670 + }, + { + "entropy": 6.229399871826172, + "epoch": 7.12386545648692, + "grad_norm": 1.0703125, + "learning_rate": 0.00015521097372139654, + "loss": 5.3648, + "mean_token_accuracy": 0.19738561660051346, + "num_tokens": 14614697.0, + "step": 6675 + }, + { + "entropy": 6.316095399856567, + "epoch": 7.129204484783769, + "grad_norm": 1.25, + "learning_rate": 0.00015485331905714257, + "loss": 5.3925, + "mean_token_accuracy": 0.19631152153015136, + "num_tokens": 14624302.0, + "step": 6680 + }, + { + "entropy": 6.291509103775025, + "epoch": 7.13454351308062, + "grad_norm": 1.28125, + "learning_rate": 0.00015449608856181422, + "loss": 5.4087, + "mean_token_accuracy": 0.19371372908353807, + "num_tokens": 14635081.0, + "step": 6685 + }, + { + "entropy": 6.264547395706177, + "epoch": 7.139882541377469, + "grad_norm": 1.125, + "learning_rate": 0.00015413928349658745, + "loss": 5.3872, + "mean_token_accuracy": 0.2043850302696228, + "num_tokens": 14645817.0, + "step": 6690 + }, + { + "entropy": 6.287539434432984, + "epoch": 7.1452215696743195, + "grad_norm": 1.203125, + "learning_rate": 0.0001537829051211358, + "loss": 5.4525, + "mean_token_accuracy": 0.1920837566256523, + "num_tokens": 14656442.0, + "step": 6695 + }, + { + "entropy": 6.278778505325318, + "epoch": 7.150560597971169, + "grad_norm": 1.1796875, + "learning_rate": 0.00015342695469362682, + "loss": 5.3925, + "mean_token_accuracy": 0.19858739972114564, + "num_tokens": 14666974.0, + "step": 6700 + }, + { + "entropy": 6.348932266235352, + "epoch": 7.1558996262680195, + "grad_norm": 1.1015625, + "learning_rate": 0.00015307143347071688, + "loss": 5.5826, + "mean_token_accuracy": 0.18329962342977524, + "num_tokens": 14677952.0, + "step": 6705 + }, + { + "entropy": 6.270998954772949, + "epoch": 7.161238654564869, + "grad_norm": 1.2265625, + "learning_rate": 0.0001527163427075474, + "loss": 5.4297, + "mean_token_accuracy": 0.19348912090063095, + "num_tokens": 14688858.0, + "step": 6710 + }, + { + "entropy": 6.274411296844482, + "epoch": 7.166577682861719, + "grad_norm": 1.1640625, + "learning_rate": 0.00015236168365773985, + "loss": 5.4505, + "mean_token_accuracy": 0.18570196628570557, + "num_tokens": 14699992.0, + "step": 6715 + }, + { + "entropy": 6.332328271865845, + "epoch": 7.171916711158569, + "grad_norm": 1.2734375, + "learning_rate": 0.00015200745757339149, + "loss": 5.4072, + "mean_token_accuracy": 0.19031400680541993, + "num_tokens": 14710720.0, + "step": 6720 + }, + { + "entropy": 6.32621431350708, + "epoch": 7.177255739455419, + "grad_norm": 1.2109375, + "learning_rate": 0.00015165366570507138, + "loss": 5.4728, + "mean_token_accuracy": 0.18544712662696838, + "num_tokens": 14721101.0, + "step": 6725 + }, + { + "entropy": 6.3247661113739015, + "epoch": 7.182594767752269, + "grad_norm": 1.203125, + "learning_rate": 0.00015130030930181527, + "loss": 5.4501, + "mean_token_accuracy": 0.19216947257518768, + "num_tokens": 14731428.0, + "step": 6730 + }, + { + "entropy": 6.322046327590942, + "epoch": 7.187933796049119, + "grad_norm": 1.09375, + "learning_rate": 0.0001509473896111218, + "loss": 5.4599, + "mean_token_accuracy": 0.18756082206964492, + "num_tokens": 14743419.0, + "step": 6735 + }, + { + "entropy": 6.281675624847412, + "epoch": 7.193272824345969, + "grad_norm": 1.0390625, + "learning_rate": 0.00015059490787894768, + "loss": 5.4847, + "mean_token_accuracy": 0.18561287969350815, + "num_tokens": 14756162.0, + "step": 6740 + }, + { + "entropy": 6.386045646667481, + "epoch": 7.198611852642819, + "grad_norm": 1.25, + "learning_rate": 0.0001502428653497034, + "loss": 5.5361, + "mean_token_accuracy": 0.18351231813430785, + "num_tokens": 14767264.0, + "step": 6745 + }, + { + "entropy": 6.404717302322387, + "epoch": 7.203950880939669, + "grad_norm": 1.375, + "learning_rate": 0.0001498912632662489, + "loss": 5.4631, + "mean_token_accuracy": 0.18551670759916306, + "num_tokens": 14778344.0, + "step": 6750 + }, + { + "entropy": 6.340229177474976, + "epoch": 7.209289909236519, + "grad_norm": 1.15625, + "learning_rate": 0.00014954010286988935, + "loss": 5.5307, + "mean_token_accuracy": 0.18180549144744873, + "num_tokens": 14790518.0, + "step": 6755 + }, + { + "entropy": 6.292685031890869, + "epoch": 7.2146289375333685, + "grad_norm": 1.3359375, + "learning_rate": 0.00014918938540037018, + "loss": 5.4807, + "mean_token_accuracy": 0.18915681540966034, + "num_tokens": 14801792.0, + "step": 6760 + }, + { + "entropy": 6.231640481948853, + "epoch": 7.219967965830219, + "grad_norm": 1.328125, + "learning_rate": 0.00014883911209587366, + "loss": 5.366, + "mean_token_accuracy": 0.20036828219890596, + "num_tokens": 14812259.0, + "step": 6765 + }, + { + "entropy": 6.258896732330323, + "epoch": 7.2253069941270684, + "grad_norm": 1.0859375, + "learning_rate": 0.0001484892841930134, + "loss": 5.4381, + "mean_token_accuracy": 0.19050138741731643, + "num_tokens": 14823858.0, + "step": 6770 + }, + { + "entropy": 6.2924394607543945, + "epoch": 7.230646022423919, + "grad_norm": 1.2265625, + "learning_rate": 0.000148139902926831, + "loss": 5.4068, + "mean_token_accuracy": 0.19775196760892869, + "num_tokens": 14834069.0, + "step": 6775 + }, + { + "entropy": 6.317218446731568, + "epoch": 7.235985050720769, + "grad_norm": 1.1953125, + "learning_rate": 0.00014779096953079096, + "loss": 5.4495, + "mean_token_accuracy": 0.19177347272634507, + "num_tokens": 14844998.0, + "step": 6780 + }, + { + "entropy": 6.294413757324219, + "epoch": 7.241324079017619, + "grad_norm": 1.078125, + "learning_rate": 0.00014744248523677658, + "loss": 5.5113, + "mean_token_accuracy": 0.18353998363018037, + "num_tokens": 14855997.0, + "step": 6785 + }, + { + "entropy": 6.298984670639038, + "epoch": 7.246663107314469, + "grad_norm": 1.2578125, + "learning_rate": 0.00014709445127508594, + "loss": 5.4684, + "mean_token_accuracy": 0.1885671928524971, + "num_tokens": 14866813.0, + "step": 6790 + }, + { + "entropy": 6.257570743560791, + "epoch": 7.252002135611319, + "grad_norm": 1.1875, + "learning_rate": 0.00014674686887442695, + "loss": 5.4425, + "mean_token_accuracy": 0.18660287111997603, + "num_tokens": 14877681.0, + "step": 6795 + }, + { + "entropy": 6.268080139160157, + "epoch": 7.257341163908169, + "grad_norm": 1.3515625, + "learning_rate": 0.00014639973926191353, + "loss": 5.5047, + "mean_token_accuracy": 0.18286219090223313, + "num_tokens": 14888896.0, + "step": 6800 + }, + { + "entropy": 6.3286150932312015, + "epoch": 7.262680192205019, + "grad_norm": 1.21875, + "learning_rate": 0.00014605306366306093, + "loss": 5.4721, + "mean_token_accuracy": 0.18981748819351196, + "num_tokens": 14899230.0, + "step": 6805 + }, + { + "entropy": 6.259786605834961, + "epoch": 7.268019220501869, + "grad_norm": 1.1796875, + "learning_rate": 0.00014570684330178152, + "loss": 5.4336, + "mean_token_accuracy": 0.1927536189556122, + "num_tokens": 14910726.0, + "step": 6810 + }, + { + "entropy": 6.311066293716431, + "epoch": 7.2733582487987185, + "grad_norm": 1.125, + "learning_rate": 0.00014536107940038063, + "loss": 5.4831, + "mean_token_accuracy": 0.18997626900672912, + "num_tokens": 14922464.0, + "step": 6815 + }, + { + "entropy": 6.3254467964172365, + "epoch": 7.278697277095569, + "grad_norm": 1.078125, + "learning_rate": 0.00014501577317955195, + "loss": 5.5114, + "mean_token_accuracy": 0.18482305705547333, + "num_tokens": 14932719.0, + "step": 6820 + }, + { + "entropy": 6.237675046920776, + "epoch": 7.284036305392418, + "grad_norm": 1.1640625, + "learning_rate": 0.00014467092585837348, + "loss": 5.3684, + "mean_token_accuracy": 0.1937697485089302, + "num_tokens": 14943497.0, + "step": 6825 + }, + { + "entropy": 6.2961009502410885, + "epoch": 7.289375333689269, + "grad_norm": 1.2734375, + "learning_rate": 0.000144326538654303, + "loss": 5.4553, + "mean_token_accuracy": 0.19217261373996736, + "num_tokens": 14953887.0, + "step": 6830 + }, + { + "entropy": 6.266338968276978, + "epoch": 7.294714361986118, + "grad_norm": 1.2734375, + "learning_rate": 0.00014398261278317405, + "loss": 5.4194, + "mean_token_accuracy": 0.1873815566301346, + "num_tokens": 14965193.0, + "step": 6835 + }, + { + "entropy": 6.252061939239502, + "epoch": 7.300053390282969, + "grad_norm": 1.1640625, + "learning_rate": 0.00014363914945919126, + "loss": 5.4351, + "mean_token_accuracy": 0.19088050872087478, + "num_tokens": 14976266.0, + "step": 6840 + }, + { + "entropy": 6.311152935028076, + "epoch": 7.305392418579818, + "grad_norm": 1.25, + "learning_rate": 0.0001432961498949263, + "loss": 5.4244, + "mean_token_accuracy": 0.19315261840820314, + "num_tokens": 14987993.0, + "step": 6845 + }, + { + "entropy": 6.3497191905975345, + "epoch": 7.310731446876669, + "grad_norm": 1.125, + "learning_rate": 0.0001429536153013137, + "loss": 5.4808, + "mean_token_accuracy": 0.18216035068035125, + "num_tokens": 14998445.0, + "step": 6850 + }, + { + "entropy": 6.271890926361084, + "epoch": 7.316070475173518, + "grad_norm": 1.3203125, + "learning_rate": 0.00014261154688764645, + "loss": 5.4611, + "mean_token_accuracy": 0.188706374168396, + "num_tokens": 15008788.0, + "step": 6855 + }, + { + "entropy": 6.2674929141998295, + "epoch": 7.321409503470369, + "grad_norm": 1.1484375, + "learning_rate": 0.00014226994586157148, + "loss": 5.4978, + "mean_token_accuracy": 0.184069262444973, + "num_tokens": 15020167.0, + "step": 6860 + }, + { + "entropy": 6.334926986694336, + "epoch": 7.326748531767218, + "grad_norm": 1.21875, + "learning_rate": 0.00014192881342908604, + "loss": 5.4803, + "mean_token_accuracy": 0.18917828649282456, + "num_tokens": 15031082.0, + "step": 6865 + }, + { + "entropy": 6.286368560791016, + "epoch": 7.3320875600640685, + "grad_norm": 1.0859375, + "learning_rate": 0.00014158815079453268, + "loss": 5.4412, + "mean_token_accuracy": 0.19314158707857132, + "num_tokens": 15041728.0, + "step": 6870 + }, + { + "entropy": 6.300330734252929, + "epoch": 7.337426588360918, + "grad_norm": 1.125, + "learning_rate": 0.00014124795916059548, + "loss": 5.4293, + "mean_token_accuracy": 0.19236666411161424, + "num_tokens": 15052131.0, + "step": 6875 + }, + { + "entropy": 6.248535871505737, + "epoch": 7.342765616657768, + "grad_norm": 1.34375, + "learning_rate": 0.00014090823972829586, + "loss": 5.3861, + "mean_token_accuracy": 0.19000423103570938, + "num_tokens": 15063377.0, + "step": 6880 + }, + { + "entropy": 6.272410345077515, + "epoch": 7.348104644954618, + "grad_norm": 1.125, + "learning_rate": 0.00014056899369698785, + "loss": 5.387, + "mean_token_accuracy": 0.19852375388145446, + "num_tokens": 15073808.0, + "step": 6885 + }, + { + "entropy": 6.3073197364807125, + "epoch": 7.353443673251468, + "grad_norm": 1.2265625, + "learning_rate": 0.0001402302222643545, + "loss": 5.4592, + "mean_token_accuracy": 0.1940150499343872, + "num_tokens": 15084409.0, + "step": 6890 + }, + { + "entropy": 6.310897445678711, + "epoch": 7.358782701548318, + "grad_norm": 1.359375, + "learning_rate": 0.00013989192662640306, + "loss": 5.4773, + "mean_token_accuracy": 0.18742646425962448, + "num_tokens": 15094861.0, + "step": 6895 + }, + { + "entropy": 6.303181982040405, + "epoch": 7.364121729845168, + "grad_norm": 1.125, + "learning_rate": 0.0001395541079774612, + "loss": 5.4783, + "mean_token_accuracy": 0.18808880746364592, + "num_tokens": 15104939.0, + "step": 6900 + }, + { + "entropy": 6.226565361022949, + "epoch": 7.369460758142019, + "grad_norm": 1.140625, + "learning_rate": 0.00013921676751017255, + "loss": 5.365, + "mean_token_accuracy": 0.19940806925296783, + "num_tokens": 15115243.0, + "step": 6905 + }, + { + "entropy": 6.267017602920532, + "epoch": 7.374799786438868, + "grad_norm": 1.171875, + "learning_rate": 0.00013887990641549245, + "loss": 5.4636, + "mean_token_accuracy": 0.18399228155612946, + "num_tokens": 15127363.0, + "step": 6910 + }, + { + "entropy": 6.279464530944824, + "epoch": 7.380138814735718, + "grad_norm": 1.2109375, + "learning_rate": 0.00013854352588268408, + "loss": 5.3497, + "mean_token_accuracy": 0.19327647387981414, + "num_tokens": 15138128.0, + "step": 6915 + }, + { + "entropy": 6.303591060638428, + "epoch": 7.385477843032568, + "grad_norm": 1.2265625, + "learning_rate": 0.0001382076270993138, + "loss": 5.5058, + "mean_token_accuracy": 0.1778939798474312, + "num_tokens": 15148911.0, + "step": 6920 + }, + { + "entropy": 6.257078218460083, + "epoch": 7.3908168713294184, + "grad_norm": 1.140625, + "learning_rate": 0.0001378722112512474, + "loss": 5.4458, + "mean_token_accuracy": 0.18303258419036866, + "num_tokens": 15159564.0, + "step": 6925 + }, + { + "entropy": 6.266393041610717, + "epoch": 7.396155899626268, + "grad_norm": 1.1875, + "learning_rate": 0.0001375372795226455, + "loss": 5.4699, + "mean_token_accuracy": 0.1912732571363449, + "num_tokens": 15170536.0, + "step": 6930 + }, + { + "entropy": 6.302108573913574, + "epoch": 7.401494927923118, + "grad_norm": 1.21875, + "learning_rate": 0.00013720283309595987, + "loss": 5.463, + "mean_token_accuracy": 0.19185779988765717, + "num_tokens": 15181242.0, + "step": 6935 + }, + { + "entropy": 6.343116331100464, + "epoch": 7.406833956219968, + "grad_norm": 1.1171875, + "learning_rate": 0.00013686887315192842, + "loss": 5.4834, + "mean_token_accuracy": 0.18818345814943313, + "num_tokens": 15192873.0, + "step": 6940 + }, + { + "entropy": 6.30702543258667, + "epoch": 7.412172984516818, + "grad_norm": 1.1328125, + "learning_rate": 0.00013653540086957218, + "loss": 5.4501, + "mean_token_accuracy": 0.19412994533777236, + "num_tokens": 15204059.0, + "step": 6945 + }, + { + "entropy": 6.3180159568786625, + "epoch": 7.417512012813668, + "grad_norm": 1.1328125, + "learning_rate": 0.0001362024174261901, + "loss": 5.5063, + "mean_token_accuracy": 0.18488460928201675, + "num_tokens": 15214435.0, + "step": 6950 + }, + { + "entropy": 6.308865594863891, + "epoch": 7.422851041110518, + "grad_norm": 1.1484375, + "learning_rate": 0.0001358699239973556, + "loss": 5.4797, + "mean_token_accuracy": 0.1889624461531639, + "num_tokens": 15225514.0, + "step": 6955 + }, + { + "entropy": 6.288485956192017, + "epoch": 7.428190069407368, + "grad_norm": 1.2421875, + "learning_rate": 0.0001355379217569119, + "loss": 5.373, + "mean_token_accuracy": 0.19830633103847503, + "num_tokens": 15236329.0, + "step": 6960 + }, + { + "entropy": 6.25889835357666, + "epoch": 7.433529097704218, + "grad_norm": 1.265625, + "learning_rate": 0.00013520641187696834, + "loss": 5.3872, + "mean_token_accuracy": 0.19201608002185822, + "num_tokens": 15246239.0, + "step": 6965 + }, + { + "entropy": 6.273760986328125, + "epoch": 7.438868126001068, + "grad_norm": 1.109375, + "learning_rate": 0.00013487539552789585, + "loss": 5.4801, + "mean_token_accuracy": 0.19855868369340895, + "num_tokens": 15258107.0, + "step": 6970 + }, + { + "entropy": 6.29157280921936, + "epoch": 7.444207154297918, + "grad_norm": 1.1796875, + "learning_rate": 0.00013454487387832298, + "loss": 5.4118, + "mean_token_accuracy": 0.18662227392196656, + "num_tokens": 15269494.0, + "step": 6975 + }, + { + "entropy": 6.361139106750488, + "epoch": 7.4495461825947675, + "grad_norm": 1.25, + "learning_rate": 0.00013421484809513195, + "loss": 5.5343, + "mean_token_accuracy": 0.17982688099145888, + "num_tokens": 15280847.0, + "step": 6980 + }, + { + "entropy": 6.348047399520874, + "epoch": 7.454885210891618, + "grad_norm": 1.4140625, + "learning_rate": 0.00013388531934345417, + "loss": 5.4806, + "mean_token_accuracy": 0.18755375295877458, + "num_tokens": 15291602.0, + "step": 6985 + }, + { + "entropy": 6.304960441589356, + "epoch": 7.460224239188467, + "grad_norm": 1.203125, + "learning_rate": 0.00013355628878666654, + "loss": 5.4256, + "mean_token_accuracy": 0.1935595080256462, + "num_tokens": 15302346.0, + "step": 6990 + }, + { + "entropy": 6.280840587615967, + "epoch": 7.465563267485318, + "grad_norm": 1.2265625, + "learning_rate": 0.00013322775758638675, + "loss": 5.4369, + "mean_token_accuracy": 0.19602899849414826, + "num_tokens": 15313721.0, + "step": 6995 + }, + { + "entropy": 6.242779636383057, + "epoch": 7.470902295782167, + "grad_norm": 1.25, + "learning_rate": 0.0001328997269024701, + "loss": 5.4481, + "mean_token_accuracy": 0.1883457660675049, + "num_tokens": 15325088.0, + "step": 7000 + }, + { + "epoch": 7.470902295782167, + "eval_entropy": 6.113379762079808, + "eval_loss": 6.547084331512451, + "eval_mean_token_accuracy": 0.13488195277266687, + "eval_num_tokens": 15325088.0, + "eval_runtime": 1.8116, + "eval_samples_per_second": 1700.127, + "eval_steps_per_second": 212.516, + "step": 7000 + }, + { + "entropy": 6.287962102890015, + "epoch": 7.476241324079018, + "grad_norm": 1.1640625, + "learning_rate": 0.00013257219789300417, + "loss": 5.48, + "mean_token_accuracy": 0.19072551280260086, + "num_tokens": 15335527.0, + "step": 7005 + }, + { + "entropy": 6.238534307479858, + "epoch": 7.481580352375867, + "grad_norm": 1.1640625, + "learning_rate": 0.000132245171714306, + "loss": 5.3978, + "mean_token_accuracy": 0.19542142897844314, + "num_tokens": 15347574.0, + "step": 7010 + }, + { + "entropy": 6.273657131195068, + "epoch": 7.486919380672718, + "grad_norm": 1.1953125, + "learning_rate": 0.00013191864952091727, + "loss": 5.4766, + "mean_token_accuracy": 0.1871364861726761, + "num_tokens": 15358778.0, + "step": 7015 + }, + { + "entropy": 6.32083649635315, + "epoch": 7.492258408969567, + "grad_norm": 1.203125, + "learning_rate": 0.00013159263246560008, + "loss": 5.5285, + "mean_token_accuracy": 0.18418796807527543, + "num_tokens": 15369696.0, + "step": 7020 + }, + { + "entropy": 6.350054740905762, + "epoch": 7.497597437266418, + "grad_norm": 1.2109375, + "learning_rate": 0.00013126712169933362, + "loss": 5.4787, + "mean_token_accuracy": 0.19281676262617112, + "num_tokens": 15380848.0, + "step": 7025 + }, + { + "entropy": 6.338539266586304, + "epoch": 7.502936465563267, + "grad_norm": 1.2890625, + "learning_rate": 0.0001309421183713093, + "loss": 5.489, + "mean_token_accuracy": 0.18487109690904618, + "num_tokens": 15390866.0, + "step": 7030 + }, + { + "entropy": 6.299791240692139, + "epoch": 7.5082754938601175, + "grad_norm": 1.125, + "learning_rate": 0.00013061762362892742, + "loss": 5.5355, + "mean_token_accuracy": 0.18896956443786622, + "num_tokens": 15402827.0, + "step": 7035 + }, + { + "entropy": 6.263814258575439, + "epoch": 7.513614522156967, + "grad_norm": 1.171875, + "learning_rate": 0.00013029363861779224, + "loss": 5.3697, + "mean_token_accuracy": 0.19655501693487168, + "num_tokens": 15413590.0, + "step": 7040 + }, + { + "entropy": 6.30505633354187, + "epoch": 7.518953550453817, + "grad_norm": 1.2265625, + "learning_rate": 0.00012997016448170907, + "loss": 5.5179, + "mean_token_accuracy": 0.1944273218512535, + "num_tokens": 15424626.0, + "step": 7045 + }, + { + "entropy": 6.302839183807373, + "epoch": 7.524292578750668, + "grad_norm": 1.1796875, + "learning_rate": 0.000129647202362679, + "loss": 5.5083, + "mean_token_accuracy": 0.18509242087602615, + "num_tokens": 15435369.0, + "step": 7050 + }, + { + "entropy": 6.266674900054932, + "epoch": 7.529631607047517, + "grad_norm": 1.171875, + "learning_rate": 0.00012932475340089606, + "loss": 5.3647, + "mean_token_accuracy": 0.1904921844601631, + "num_tokens": 15446093.0, + "step": 7055 + }, + { + "entropy": 6.313183116912842, + "epoch": 7.534970635344367, + "grad_norm": 1.1015625, + "learning_rate": 0.00012900281873474214, + "loss": 5.3895, + "mean_token_accuracy": 0.19382342249155043, + "num_tokens": 15458535.0, + "step": 7060 + }, + { + "entropy": 6.348286533355713, + "epoch": 7.540309663641217, + "grad_norm": 1.1875, + "learning_rate": 0.00012868139950078376, + "loss": 5.4868, + "mean_token_accuracy": 0.1908288910984993, + "num_tokens": 15469288.0, + "step": 7065 + }, + { + "entropy": 6.249121379852295, + "epoch": 7.545648691938068, + "grad_norm": 1.171875, + "learning_rate": 0.0001283604968337676, + "loss": 5.4569, + "mean_token_accuracy": 0.18953004479408264, + "num_tokens": 15479643.0, + "step": 7070 + }, + { + "entropy": 6.264892864227295, + "epoch": 7.550987720234917, + "grad_norm": 1.0703125, + "learning_rate": 0.00012804011186661664, + "loss": 5.4565, + "mean_token_accuracy": 0.18462781757116317, + "num_tokens": 15491012.0, + "step": 7075 + }, + { + "entropy": 6.2518665313720705, + "epoch": 7.556326748531768, + "grad_norm": 1.1328125, + "learning_rate": 0.00012772024573042625, + "loss": 5.4577, + "mean_token_accuracy": 0.1880313828587532, + "num_tokens": 15501621.0, + "step": 7080 + }, + { + "entropy": 6.325869989395142, + "epoch": 7.561665776828617, + "grad_norm": 1.0859375, + "learning_rate": 0.00012740089955445993, + "loss": 5.4366, + "mean_token_accuracy": 0.19207198768854142, + "num_tokens": 15512463.0, + "step": 7085 + }, + { + "entropy": 6.317035770416259, + "epoch": 7.5670048051254675, + "grad_norm": 1.21875, + "learning_rate": 0.00012708207446614577, + "loss": 5.417, + "mean_token_accuracy": 0.19555209428071976, + "num_tokens": 15522141.0, + "step": 7090 + }, + { + "entropy": 6.288141679763794, + "epoch": 7.572343833422317, + "grad_norm": 1.265625, + "learning_rate": 0.00012676377159107194, + "loss": 5.5003, + "mean_token_accuracy": 0.18633041232824327, + "num_tokens": 15532332.0, + "step": 7095 + }, + { + "entropy": 6.313205575942993, + "epoch": 7.577682861719167, + "grad_norm": 1.171875, + "learning_rate": 0.00012644599205298323, + "loss": 5.5188, + "mean_token_accuracy": 0.19106141477823257, + "num_tokens": 15542157.0, + "step": 7100 + }, + { + "entropy": 6.186431550979615, + "epoch": 7.583021890016017, + "grad_norm": 1.140625, + "learning_rate": 0.00012612873697377645, + "loss": 5.3858, + "mean_token_accuracy": 0.19531311988830566, + "num_tokens": 15554015.0, + "step": 7105 + }, + { + "entropy": 6.259077882766723, + "epoch": 7.588360918312867, + "grad_norm": 1.2109375, + "learning_rate": 0.00012581200747349713, + "loss": 5.4177, + "mean_token_accuracy": 0.19319947063922882, + "num_tokens": 15565134.0, + "step": 7110 + }, + { + "entropy": 6.28724513053894, + "epoch": 7.593699946609717, + "grad_norm": 1.1640625, + "learning_rate": 0.0001254958046703354, + "loss": 5.4835, + "mean_token_accuracy": 0.18521590232849122, + "num_tokens": 15575570.0, + "step": 7115 + }, + { + "entropy": 6.304519891738892, + "epoch": 7.599038974906567, + "grad_norm": 1.3203125, + "learning_rate": 0.0001251801296806215, + "loss": 5.452, + "mean_token_accuracy": 0.1922187700867653, + "num_tokens": 15586350.0, + "step": 7120 + }, + { + "entropy": 6.311883592605591, + "epoch": 7.604378003203417, + "grad_norm": 1.1328125, + "learning_rate": 0.00012486498361882276, + "loss": 5.4631, + "mean_token_accuracy": 0.1864357113838196, + "num_tokens": 15597064.0, + "step": 7125 + }, + { + "entropy": 6.283797788619995, + "epoch": 7.609717031500267, + "grad_norm": 1.078125, + "learning_rate": 0.00012455036759753872, + "loss": 5.4201, + "mean_token_accuracy": 0.19565890729427338, + "num_tokens": 15608424.0, + "step": 7130 + }, + { + "entropy": 6.309296417236328, + "epoch": 7.615056059797117, + "grad_norm": 1.15625, + "learning_rate": 0.0001242362827274981, + "loss": 5.4694, + "mean_token_accuracy": 0.18753717243671417, + "num_tokens": 15619193.0, + "step": 7135 + }, + { + "entropy": 6.307245063781738, + "epoch": 7.620395088093967, + "grad_norm": 1.1328125, + "learning_rate": 0.00012392273011755387, + "loss": 5.4772, + "mean_token_accuracy": 0.18487688452005385, + "num_tokens": 15630391.0, + "step": 7140 + }, + { + "entropy": 6.3016722202301025, + "epoch": 7.6257341163908166, + "grad_norm": 1.21875, + "learning_rate": 0.00012360971087468044, + "loss": 5.4741, + "mean_token_accuracy": 0.18722636699676515, + "num_tokens": 15641098.0, + "step": 7145 + }, + { + "entropy": 6.349103164672852, + "epoch": 7.631073144687667, + "grad_norm": 1.1875, + "learning_rate": 0.00012329722610396885, + "loss": 5.5289, + "mean_token_accuracy": 0.17972193509340287, + "num_tokens": 15652677.0, + "step": 7150 + }, + { + "entropy": 6.281785202026367, + "epoch": 7.6364121729845165, + "grad_norm": 1.328125, + "learning_rate": 0.00012298527690862346, + "loss": 5.3607, + "mean_token_accuracy": 0.20771307796239852, + "num_tokens": 15664161.0, + "step": 7155 + }, + { + "entropy": 6.28417181968689, + "epoch": 7.641751201281367, + "grad_norm": 1.25, + "learning_rate": 0.00012267386438995762, + "loss": 5.4356, + "mean_token_accuracy": 0.1937227040529251, + "num_tokens": 15674663.0, + "step": 7160 + }, + { + "entropy": 6.308889245986938, + "epoch": 7.647090229578216, + "grad_norm": 1.2734375, + "learning_rate": 0.00012236298964739018, + "loss": 5.4676, + "mean_token_accuracy": 0.18741294145584106, + "num_tokens": 15684798.0, + "step": 7165 + }, + { + "entropy": 6.325117874145508, + "epoch": 7.652429257875067, + "grad_norm": 1.2890625, + "learning_rate": 0.00012205265377844127, + "loss": 5.5007, + "mean_token_accuracy": 0.1891069769859314, + "num_tokens": 15694796.0, + "step": 7170 + }, + { + "entropy": 6.306446743011475, + "epoch": 7.657768286171917, + "grad_norm": 1.203125, + "learning_rate": 0.0001217428578787285, + "loss": 5.5164, + "mean_token_accuracy": 0.1903630942106247, + "num_tokens": 15705325.0, + "step": 7175 + }, + { + "entropy": 6.331416177749634, + "epoch": 7.663107314468767, + "grad_norm": 1.2421875, + "learning_rate": 0.00012143360304196345, + "loss": 5.4456, + "mean_token_accuracy": 0.19512286633253098, + "num_tokens": 15716106.0, + "step": 7180 + }, + { + "entropy": 6.254957675933838, + "epoch": 7.668446342765616, + "grad_norm": 1.3203125, + "learning_rate": 0.00012112489035994715, + "loss": 5.4089, + "mean_token_accuracy": 0.1882454499602318, + "num_tokens": 15726896.0, + "step": 7185 + }, + { + "entropy": 6.280194568634033, + "epoch": 7.673785371062467, + "grad_norm": 1.15625, + "learning_rate": 0.00012081672092256693, + "loss": 5.4604, + "mean_token_accuracy": 0.1862812101840973, + "num_tokens": 15737492.0, + "step": 7190 + }, + { + "entropy": 6.3121009349823, + "epoch": 7.679124399359317, + "grad_norm": 1.171875, + "learning_rate": 0.00012050909581779194, + "loss": 5.4492, + "mean_token_accuracy": 0.18987040221691132, + "num_tokens": 15748941.0, + "step": 7195 + }, + { + "entropy": 6.290960836410522, + "epoch": 7.6844634276561665, + "grad_norm": 1.0625, + "learning_rate": 0.00012020201613166996, + "loss": 5.4389, + "mean_token_accuracy": 0.1893820658326149, + "num_tokens": 15760364.0, + "step": 7200 + }, + { + "entropy": 6.273015642166138, + "epoch": 7.689802455953017, + "grad_norm": 1.203125, + "learning_rate": 0.0001198954829483227, + "loss": 5.4886, + "mean_token_accuracy": 0.19192273169755936, + "num_tokens": 15770827.0, + "step": 7205 + }, + { + "entropy": 6.291214561462402, + "epoch": 7.695141484249866, + "grad_norm": 1.2265625, + "learning_rate": 0.00011958949734994294, + "loss": 5.4105, + "mean_token_accuracy": 0.19716935455799103, + "num_tokens": 15781685.0, + "step": 7210 + }, + { + "entropy": 6.3456682682037355, + "epoch": 7.700480512546717, + "grad_norm": 1.078125, + "learning_rate": 0.00011928406041679016, + "loss": 5.5194, + "mean_token_accuracy": 0.18710066080093385, + "num_tokens": 15793467.0, + "step": 7215 + }, + { + "entropy": 6.278537702560425, + "epoch": 7.705819540843566, + "grad_norm": 1.1640625, + "learning_rate": 0.00011897917322718658, + "loss": 5.4711, + "mean_token_accuracy": 0.18923619240522385, + "num_tokens": 15804030.0, + "step": 7220 + }, + { + "entropy": 6.326219749450684, + "epoch": 7.711158569140417, + "grad_norm": 1.171875, + "learning_rate": 0.00011867483685751393, + "loss": 5.4758, + "mean_token_accuracy": 0.19105219542980195, + "num_tokens": 15815834.0, + "step": 7225 + }, + { + "entropy": 6.304016733169556, + "epoch": 7.716497597437266, + "grad_norm": 1.0625, + "learning_rate": 0.00011837105238220905, + "loss": 5.4935, + "mean_token_accuracy": 0.18709275275468826, + "num_tokens": 15828605.0, + "step": 7230 + }, + { + "entropy": 6.295789098739624, + "epoch": 7.721836625734117, + "grad_norm": 1.25, + "learning_rate": 0.00011806782087376044, + "loss": 5.4023, + "mean_token_accuracy": 0.1915412038564682, + "num_tokens": 15838820.0, + "step": 7235 + }, + { + "entropy": 6.2806047916412355, + "epoch": 7.727175654030966, + "grad_norm": 1.21875, + "learning_rate": 0.00011776514340270435, + "loss": 5.471, + "mean_token_accuracy": 0.19484994560480118, + "num_tokens": 15850425.0, + "step": 7240 + }, + { + "entropy": 6.332225275039673, + "epoch": 7.732514682327817, + "grad_norm": 1.234375, + "learning_rate": 0.0001174630210376212, + "loss": 5.5353, + "mean_token_accuracy": 0.18361962884664534, + "num_tokens": 15861175.0, + "step": 7245 + }, + { + "entropy": 6.294142627716065, + "epoch": 7.737853710624666, + "grad_norm": 1.265625, + "learning_rate": 0.00011716145484513142, + "loss": 5.4624, + "mean_token_accuracy": 0.18699735403060913, + "num_tokens": 15871425.0, + "step": 7250 + }, + { + "entropy": 6.280290603637695, + "epoch": 7.7431927389215165, + "grad_norm": 1.3046875, + "learning_rate": 0.00011686044588989222, + "loss": 5.3874, + "mean_token_accuracy": 0.20123666226863862, + "num_tokens": 15881984.0, + "step": 7255 + }, + { + "entropy": 6.221923875808716, + "epoch": 7.748531767218366, + "grad_norm": 1.1015625, + "learning_rate": 0.00011655999523459311, + "loss": 5.4414, + "mean_token_accuracy": 0.1885385051369667, + "num_tokens": 15891940.0, + "step": 7260 + }, + { + "entropy": 6.3203362941741945, + "epoch": 7.753870795515216, + "grad_norm": 1.1953125, + "learning_rate": 0.00011626010393995301, + "loss": 5.5108, + "mean_token_accuracy": 0.1837375894188881, + "num_tokens": 15902899.0, + "step": 7265 + }, + { + "entropy": 6.2765544891357425, + "epoch": 7.759209823812066, + "grad_norm": 1.2578125, + "learning_rate": 0.00011596077306471577, + "loss": 5.4318, + "mean_token_accuracy": 0.193292735517025, + "num_tokens": 15913022.0, + "step": 7270 + }, + { + "entropy": 6.257391500473022, + "epoch": 7.764548852108916, + "grad_norm": 1.15625, + "learning_rate": 0.00011566200366564665, + "loss": 5.4287, + "mean_token_accuracy": 0.19449929893016815, + "num_tokens": 15924046.0, + "step": 7275 + }, + { + "entropy": 6.305574607849121, + "epoch": 7.769887880405766, + "grad_norm": 1.0390625, + "learning_rate": 0.00011536379679752901, + "loss": 5.5019, + "mean_token_accuracy": 0.18431514203548433, + "num_tokens": 15935993.0, + "step": 7280 + }, + { + "entropy": 6.27879376411438, + "epoch": 7.775226908702616, + "grad_norm": 1.234375, + "learning_rate": 0.00011506615351315989, + "loss": 5.52, + "mean_token_accuracy": 0.18554560840129852, + "num_tokens": 15946183.0, + "step": 7285 + }, + { + "entropy": 6.297955513000488, + "epoch": 7.780565936999466, + "grad_norm": 1.203125, + "learning_rate": 0.00011476907486334688, + "loss": 5.4348, + "mean_token_accuracy": 0.18957224488258362, + "num_tokens": 15956010.0, + "step": 7290 + }, + { + "entropy": 6.317027902603149, + "epoch": 7.785904965296316, + "grad_norm": 1.1796875, + "learning_rate": 0.00011447256189690404, + "loss": 5.4409, + "mean_token_accuracy": 0.1914788231253624, + "num_tokens": 15966747.0, + "step": 7295 + }, + { + "entropy": 6.245621633529663, + "epoch": 7.791243993593166, + "grad_norm": 1.21875, + "learning_rate": 0.00011417661566064834, + "loss": 5.4596, + "mean_token_accuracy": 0.1893852472305298, + "num_tokens": 15976551.0, + "step": 7300 + }, + { + "entropy": 6.285864305496216, + "epoch": 7.796583021890016, + "grad_norm": 1.2890625, + "learning_rate": 0.00011388123719939586, + "loss": 5.4493, + "mean_token_accuracy": 0.1863636240363121, + "num_tokens": 15987074.0, + "step": 7305 + }, + { + "entropy": 6.305343341827393, + "epoch": 7.801922050186866, + "grad_norm": 1.328125, + "learning_rate": 0.00011358642755595853, + "loss": 5.4769, + "mean_token_accuracy": 0.1860616162419319, + "num_tokens": 15997180.0, + "step": 7310 + }, + { + "entropy": 6.33305025100708, + "epoch": 7.807261078483716, + "grad_norm": 1.109375, + "learning_rate": 0.00011329218777113965, + "loss": 5.4329, + "mean_token_accuracy": 0.1920934110879898, + "num_tokens": 16008653.0, + "step": 7315 + }, + { + "entropy": 6.348929166793823, + "epoch": 7.812600106780566, + "grad_norm": 1.21875, + "learning_rate": 0.00011299851888373102, + "loss": 5.5976, + "mean_token_accuracy": 0.18123090267181396, + "num_tokens": 16020561.0, + "step": 7320 + }, + { + "entropy": 6.2745198726654055, + "epoch": 7.817939135077416, + "grad_norm": 1.21875, + "learning_rate": 0.00011270542193050888, + "loss": 5.4626, + "mean_token_accuracy": 0.19890002608299256, + "num_tokens": 16031456.0, + "step": 7325 + }, + { + "entropy": 6.341566324234009, + "epoch": 7.823278163374265, + "grad_norm": 1.1640625, + "learning_rate": 0.00011241289794623018, + "loss": 5.5555, + "mean_token_accuracy": 0.1821800947189331, + "num_tokens": 16042757.0, + "step": 7330 + }, + { + "entropy": 6.235800075531006, + "epoch": 7.828617191671116, + "grad_norm": 1.234375, + "learning_rate": 0.00011212094796362907, + "loss": 5.3304, + "mean_token_accuracy": 0.19140418320894242, + "num_tokens": 16053022.0, + "step": 7335 + }, + { + "entropy": 6.276721525192261, + "epoch": 7.833956219967966, + "grad_norm": 1.2109375, + "learning_rate": 0.00011182957301341321, + "loss": 5.4054, + "mean_token_accuracy": 0.18919897228479385, + "num_tokens": 16063959.0, + "step": 7340 + }, + { + "entropy": 6.3329778671264645, + "epoch": 7.839295248264816, + "grad_norm": 1.2265625, + "learning_rate": 0.00011153877412426034, + "loss": 5.4952, + "mean_token_accuracy": 0.18930234760046005, + "num_tokens": 16074402.0, + "step": 7345 + }, + { + "entropy": 6.211783933639526, + "epoch": 7.844634276561666, + "grad_norm": 1.234375, + "learning_rate": 0.0001112485523228142, + "loss": 5.371, + "mean_token_accuracy": 0.1979040816426277, + "num_tokens": 16085596.0, + "step": 7350 + }, + { + "entropy": 6.2267842292785645, + "epoch": 7.849973304858516, + "grad_norm": 1.3203125, + "learning_rate": 0.0001109589086336814, + "loss": 5.44, + "mean_token_accuracy": 0.19745024889707566, + "num_tokens": 16095625.0, + "step": 7355 + }, + { + "entropy": 6.285884141921997, + "epoch": 7.855312333155366, + "grad_norm": 1.2734375, + "learning_rate": 0.00011066984407942737, + "loss": 5.419, + "mean_token_accuracy": 0.18915786296129228, + "num_tokens": 16107750.0, + "step": 7360 + }, + { + "entropy": 6.269041252136231, + "epoch": 7.8606513614522155, + "grad_norm": 1.1875, + "learning_rate": 0.000110381359680573, + "loss": 5.4201, + "mean_token_accuracy": 0.19418328255414963, + "num_tokens": 16118652.0, + "step": 7365 + }, + { + "entropy": 6.27239875793457, + "epoch": 7.865990389749066, + "grad_norm": 1.2109375, + "learning_rate": 0.00011009345645559113, + "loss": 5.4206, + "mean_token_accuracy": 0.1961502403020859, + "num_tokens": 16129598.0, + "step": 7370 + }, + { + "entropy": 6.298056602478027, + "epoch": 7.8713294180459155, + "grad_norm": 1.2578125, + "learning_rate": 0.00010980613542090256, + "loss": 5.4407, + "mean_token_accuracy": 0.18880777657032013, + "num_tokens": 16140844.0, + "step": 7375 + }, + { + "entropy": 6.235966157913208, + "epoch": 7.876668446342766, + "grad_norm": 1.125, + "learning_rate": 0.00010951939759087298, + "loss": 5.4592, + "mean_token_accuracy": 0.1888560727238655, + "num_tokens": 16150922.0, + "step": 7380 + }, + { + "entropy": 6.307231903076172, + "epoch": 7.882007474639615, + "grad_norm": 1.328125, + "learning_rate": 0.00010923324397780887, + "loss": 5.4756, + "mean_token_accuracy": 0.19293616265058516, + "num_tokens": 16162440.0, + "step": 7385 + }, + { + "entropy": 6.284047031402588, + "epoch": 7.887346502936466, + "grad_norm": 1.1328125, + "learning_rate": 0.0001089476755919544, + "loss": 5.4599, + "mean_token_accuracy": 0.19319476932287216, + "num_tokens": 16173475.0, + "step": 7390 + }, + { + "entropy": 6.298360204696655, + "epoch": 7.892685531233315, + "grad_norm": 1.3359375, + "learning_rate": 0.00010866269344148746, + "loss": 5.5093, + "mean_token_accuracy": 0.18962480425834655, + "num_tokens": 16185668.0, + "step": 7395 + }, + { + "entropy": 6.305071783065796, + "epoch": 7.898024559530166, + "grad_norm": 1.2421875, + "learning_rate": 0.00010837829853251636, + "loss": 5.4894, + "mean_token_accuracy": 0.18193406611680984, + "num_tokens": 16198027.0, + "step": 7400 + }, + { + "entropy": 6.3255843162536625, + "epoch": 7.903363587827015, + "grad_norm": 1.234375, + "learning_rate": 0.00010809449186907611, + "loss": 5.5162, + "mean_token_accuracy": 0.18655869215726853, + "num_tokens": 16209601.0, + "step": 7405 + }, + { + "entropy": 6.297071886062622, + "epoch": 7.908702616123866, + "grad_norm": 1.125, + "learning_rate": 0.00010781127445312516, + "loss": 5.3818, + "mean_token_accuracy": 0.2019501507282257, + "num_tokens": 16221300.0, + "step": 7410 + }, + { + "entropy": 6.289458560943603, + "epoch": 7.914041644420715, + "grad_norm": 1.1171875, + "learning_rate": 0.00010752864728454143, + "loss": 5.4794, + "mean_token_accuracy": 0.18796940445899962, + "num_tokens": 16232923.0, + "step": 7415 + }, + { + "entropy": 6.289797735214234, + "epoch": 7.9193806727175655, + "grad_norm": 1.2421875, + "learning_rate": 0.00010724661136111918, + "loss": 5.4568, + "mean_token_accuracy": 0.18568747937679292, + "num_tokens": 16243373.0, + "step": 7420 + }, + { + "entropy": 6.255471897125244, + "epoch": 7.924719701014415, + "grad_norm": 1.25, + "learning_rate": 0.00010696516767856545, + "loss": 5.4383, + "mean_token_accuracy": 0.186435666680336, + "num_tokens": 16254716.0, + "step": 7425 + }, + { + "entropy": 6.313004779815674, + "epoch": 7.930058729311265, + "grad_norm": 1.0546875, + "learning_rate": 0.0001066843172304959, + "loss": 5.5306, + "mean_token_accuracy": 0.18111457228660582, + "num_tokens": 16266174.0, + "step": 7430 + }, + { + "entropy": 6.270875453948975, + "epoch": 7.935397757608115, + "grad_norm": 1.2578125, + "learning_rate": 0.00010640406100843242, + "loss": 5.3602, + "mean_token_accuracy": 0.19346348643302919, + "num_tokens": 16275927.0, + "step": 7435 + }, + { + "entropy": 6.3107868194580075, + "epoch": 7.940736785904965, + "grad_norm": 1.234375, + "learning_rate": 0.00010612440000179861, + "loss": 5.5281, + "mean_token_accuracy": 0.18930120766162872, + "num_tokens": 16287518.0, + "step": 7440 + }, + { + "entropy": 6.290305042266846, + "epoch": 7.946075814201816, + "grad_norm": 1.1875, + "learning_rate": 0.000105845335197917, + "loss": 5.4716, + "mean_token_accuracy": 0.18532466441392897, + "num_tokens": 16298201.0, + "step": 7445 + }, + { + "entropy": 6.315746784210205, + "epoch": 7.951414842498665, + "grad_norm": 1.1953125, + "learning_rate": 0.00010556686758200499, + "loss": 5.4838, + "mean_token_accuracy": 0.1856360211968422, + "num_tokens": 16309768.0, + "step": 7450 + }, + { + "entropy": 6.258326768875122, + "epoch": 7.956753870795515, + "grad_norm": 1.171875, + "learning_rate": 0.00010528899813717194, + "loss": 5.5407, + "mean_token_accuracy": 0.18397447764873504, + "num_tokens": 16320837.0, + "step": 7455 + }, + { + "entropy": 6.266445732116699, + "epoch": 7.962092899092365, + "grad_norm": 1.34375, + "learning_rate": 0.00010501172784441522, + "loss": 5.4617, + "mean_token_accuracy": 0.18468159288167954, + "num_tokens": 16332729.0, + "step": 7460 + }, + { + "entropy": 6.273439836502075, + "epoch": 7.967431927389216, + "grad_norm": 1.125, + "learning_rate": 0.00010473505768261691, + "loss": 5.4136, + "mean_token_accuracy": 0.18490265756845475, + "num_tokens": 16343444.0, + "step": 7465 + }, + { + "entropy": 6.235618734359742, + "epoch": 7.972770955686065, + "grad_norm": 1.25, + "learning_rate": 0.00010445898862854056, + "loss": 5.4047, + "mean_token_accuracy": 0.19600029289722443, + "num_tokens": 16354452.0, + "step": 7470 + }, + { + "entropy": 6.254809045791626, + "epoch": 7.9781099839829155, + "grad_norm": 1.2421875, + "learning_rate": 0.00010418352165682737, + "loss": 5.4354, + "mean_token_accuracy": 0.19964061975479125, + "num_tokens": 16365276.0, + "step": 7475 + }, + { + "entropy": 6.267963027954101, + "epoch": 7.983449012279765, + "grad_norm": 1.1015625, + "learning_rate": 0.00010390865773999305, + "loss": 5.4557, + "mean_token_accuracy": 0.19333289116621016, + "num_tokens": 16376176.0, + "step": 7480 + }, + { + "entropy": 6.220429754257202, + "epoch": 7.988788040576615, + "grad_norm": 1.1953125, + "learning_rate": 0.00010363439784842419, + "loss": 5.4219, + "mean_token_accuracy": 0.18904615938663483, + "num_tokens": 16386610.0, + "step": 7485 + }, + { + "entropy": 6.231282806396484, + "epoch": 7.994127068873465, + "grad_norm": 1.4140625, + "learning_rate": 0.00010336074295037506, + "loss": 5.376, + "mean_token_accuracy": 0.20314324349164964, + "num_tokens": 16396838.0, + "step": 7490 + }, + { + "entropy": 6.271087694168091, + "epoch": 7.999466097170315, + "grad_norm": 1.203125, + "learning_rate": 0.00010308769401196371, + "loss": 5.5287, + "mean_token_accuracy": 0.18455882072448732, + "num_tokens": 16407344.0, + "step": 7495 + }, + { + "entropy": 6.314283529917399, + "epoch": 8.00427122263748, + "grad_norm": 1.21875, + "learning_rate": 0.00010281525199716934, + "loss": 5.3818, + "mean_token_accuracy": 0.1875956224070655, + "num_tokens": 16416439.0, + "step": 7500 + }, + { + "epoch": 8.00427122263748, + "eval_entropy": 6.136151521856134, + "eval_loss": 6.5423078536987305, + "eval_mean_token_accuracy": 0.13510648057638824, + "eval_num_tokens": 16416439.0, + "eval_runtime": 1.8109, + "eval_samples_per_second": 1700.848, + "eval_steps_per_second": 212.606, + "step": 7500 + }, + { + "entropy": 6.285388946533203, + "epoch": 8.00961025093433, + "grad_norm": 1.1640625, + "learning_rate": 0.00010254341786782806, + "loss": 5.4454, + "mean_token_accuracy": 0.19184360802173614, + "num_tokens": 16427682.0, + "step": 7505 + }, + { + "entropy": 6.251141166687011, + "epoch": 8.01494927923118, + "grad_norm": 1.1171875, + "learning_rate": 0.00010227219258363021, + "loss": 5.3525, + "mean_token_accuracy": 0.1970635950565338, + "num_tokens": 16438338.0, + "step": 7510 + }, + { + "entropy": 6.2690081119537355, + "epoch": 8.02028830752803, + "grad_norm": 1.3203125, + "learning_rate": 0.00010200157710211637, + "loss": 5.3709, + "mean_token_accuracy": 0.20117098987102508, + "num_tokens": 16449151.0, + "step": 7515 + }, + { + "entropy": 6.241944169998169, + "epoch": 8.025627335824879, + "grad_norm": 1.25, + "learning_rate": 0.00010173157237867444, + "loss": 5.3415, + "mean_token_accuracy": 0.19427326321601868, + "num_tokens": 16460160.0, + "step": 7520 + }, + { + "entropy": 6.247269773483277, + "epoch": 8.03096636412173, + "grad_norm": 1.234375, + "learning_rate": 0.00010146217936653614, + "loss": 5.3315, + "mean_token_accuracy": 0.20295249819755554, + "num_tokens": 16470602.0, + "step": 7525 + }, + { + "entropy": 6.3116706848144535, + "epoch": 8.03630539241858, + "grad_norm": 1.265625, + "learning_rate": 0.0001011933990167732, + "loss": 5.3299, + "mean_token_accuracy": 0.19919252395629883, + "num_tokens": 16481086.0, + "step": 7530 + }, + { + "entropy": 6.287974166870117, + "epoch": 8.04164442071543, + "grad_norm": 1.1484375, + "learning_rate": 0.00010092523227829492, + "loss": 5.3898, + "mean_token_accuracy": 0.1971887692809105, + "num_tokens": 16492012.0, + "step": 7535 + }, + { + "entropy": 6.300996112823486, + "epoch": 8.046983449012279, + "grad_norm": 1.234375, + "learning_rate": 0.00010065768009784381, + "loss": 5.447, + "mean_token_accuracy": 0.1879270300269127, + "num_tokens": 16502793.0, + "step": 7540 + }, + { + "entropy": 6.330128574371338, + "epoch": 8.05232247730913, + "grad_norm": 1.1875, + "learning_rate": 0.0001003907434199932, + "loss": 5.4588, + "mean_token_accuracy": 0.19208128452301027, + "num_tokens": 16512457.0, + "step": 7545 + }, + { + "entropy": 6.296833324432373, + "epoch": 8.05766150560598, + "grad_norm": 1.40625, + "learning_rate": 0.000100124423187143, + "loss": 5.3995, + "mean_token_accuracy": 0.19723411351442338, + "num_tokens": 16522859.0, + "step": 7550 + }, + { + "entropy": 6.311189317703247, + "epoch": 8.06300053390283, + "grad_norm": 1.1953125, + "learning_rate": 9.985872033951708e-05, + "loss": 5.4119, + "mean_token_accuracy": 0.195047065615654, + "num_tokens": 16533755.0, + "step": 7555 + }, + { + "entropy": 6.288791131973267, + "epoch": 8.06833956219968, + "grad_norm": 1.2578125, + "learning_rate": 9.95936358151596e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.19499182999134063, + "num_tokens": 16544928.0, + "step": 7560 + }, + { + "entropy": 6.2984113693237305, + "epoch": 8.07367859049653, + "grad_norm": 1.2109375, + "learning_rate": 9.932917054993168e-05, + "loss": 5.3576, + "mean_token_accuracy": 0.20289150178432463, + "num_tokens": 16554730.0, + "step": 7565 + }, + { + "entropy": 6.211780023574829, + "epoch": 8.07901761879338, + "grad_norm": 1.2578125, + "learning_rate": 9.906532547750839e-05, + "loss": 5.3808, + "mean_token_accuracy": 0.19330030232667922, + "num_tokens": 16565374.0, + "step": 7570 + }, + { + "entropy": 6.291947889328003, + "epoch": 8.08435664709023, + "grad_norm": 1.09375, + "learning_rate": 9.880210152937502e-05, + "loss": 5.373, + "mean_token_accuracy": 0.19923413395881653, + "num_tokens": 16576477.0, + "step": 7575 + }, + { + "entropy": 6.276288414001465, + "epoch": 8.08969567538708, + "grad_norm": 1.1171875, + "learning_rate": 9.85394996348243e-05, + "loss": 5.3712, + "mean_token_accuracy": 0.20000862181186677, + "num_tokens": 16587675.0, + "step": 7580 + }, + { + "entropy": 6.247407913208008, + "epoch": 8.095034703683929, + "grad_norm": 1.046875, + "learning_rate": 9.827752072095258e-05, + "loss": 5.2777, + "mean_token_accuracy": 0.2046089142560959, + "num_tokens": 16600895.0, + "step": 7585 + }, + { + "entropy": 6.35636796951294, + "epoch": 8.10037373198078, + "grad_norm": 1.1484375, + "learning_rate": 9.801616571265709e-05, + "loss": 5.4592, + "mean_token_accuracy": 0.19454747587442398, + "num_tokens": 16612318.0, + "step": 7590 + }, + { + "entropy": 6.331305074691772, + "epoch": 8.10571276027763, + "grad_norm": 1.1796875, + "learning_rate": 9.775543553263203e-05, + "loss": 5.4849, + "mean_token_accuracy": 0.18617027550935744, + "num_tokens": 16623490.0, + "step": 7595 + }, + { + "entropy": 6.314173412322998, + "epoch": 8.11105178857448, + "grad_norm": 1.140625, + "learning_rate": 9.74953311013661e-05, + "loss": 5.4335, + "mean_token_accuracy": 0.19303737729787826, + "num_tokens": 16635378.0, + "step": 7600 + }, + { + "entropy": 6.272602128982544, + "epoch": 8.116390816871329, + "grad_norm": 1.2578125, + "learning_rate": 9.723585333713853e-05, + "loss": 5.3626, + "mean_token_accuracy": 0.1940835028886795, + "num_tokens": 16645073.0, + "step": 7605 + }, + { + "entropy": 6.308458137512207, + "epoch": 8.12172984516818, + "grad_norm": 1.171875, + "learning_rate": 9.697700315601643e-05, + "loss": 5.403, + "mean_token_accuracy": 0.19990355968475343, + "num_tokens": 16655891.0, + "step": 7610 + }, + { + "entropy": 6.243864917755127, + "epoch": 8.12706887346503, + "grad_norm": 1.203125, + "learning_rate": 9.671878147185097e-05, + "loss": 5.3733, + "mean_token_accuracy": 0.20272928178310395, + "num_tokens": 16665887.0, + "step": 7615 + }, + { + "entropy": 6.275272703170776, + "epoch": 8.13240790176188, + "grad_norm": 1.1484375, + "learning_rate": 9.646118919627466e-05, + "loss": 5.4103, + "mean_token_accuracy": 0.19670272767543792, + "num_tokens": 16677282.0, + "step": 7620 + }, + { + "entropy": 6.315062665939331, + "epoch": 8.137746930058729, + "grad_norm": 1.09375, + "learning_rate": 9.620422723869804e-05, + "loss": 5.4226, + "mean_token_accuracy": 0.1900483101606369, + "num_tokens": 16688907.0, + "step": 7625 + }, + { + "entropy": 6.273891258239746, + "epoch": 8.143085958355579, + "grad_norm": 1.234375, + "learning_rate": 9.594789650630595e-05, + "loss": 5.3772, + "mean_token_accuracy": 0.19321130514144896, + "num_tokens": 16698767.0, + "step": 7630 + }, + { + "entropy": 6.313991069793701, + "epoch": 8.14842498665243, + "grad_norm": 1.265625, + "learning_rate": 9.569219790405514e-05, + "loss": 5.3572, + "mean_token_accuracy": 0.1905400574207306, + "num_tokens": 16708789.0, + "step": 7635 + }, + { + "entropy": 6.297112989425659, + "epoch": 8.15376401494928, + "grad_norm": 1.2421875, + "learning_rate": 9.543713233467044e-05, + "loss": 5.4322, + "mean_token_accuracy": 0.19112920761108398, + "num_tokens": 16718923.0, + "step": 7640 + }, + { + "entropy": 6.326007986068726, + "epoch": 8.159103043246128, + "grad_norm": 1.1875, + "learning_rate": 9.518270069864194e-05, + "loss": 5.5019, + "mean_token_accuracy": 0.18736330568790435, + "num_tokens": 16730878.0, + "step": 7645 + }, + { + "entropy": 6.2732117652893065, + "epoch": 8.164442071542979, + "grad_norm": 1.2421875, + "learning_rate": 9.492890389422157e-05, + "loss": 5.3433, + "mean_token_accuracy": 0.1988297149538994, + "num_tokens": 16740736.0, + "step": 7650 + }, + { + "entropy": 6.253875780105591, + "epoch": 8.16978109983983, + "grad_norm": 1.359375, + "learning_rate": 9.467574281742015e-05, + "loss": 5.3155, + "mean_token_accuracy": 0.20268877744674682, + "num_tokens": 16750294.0, + "step": 7655 + }, + { + "entropy": 6.25405969619751, + "epoch": 8.17512012813668, + "grad_norm": 1.1484375, + "learning_rate": 9.442321836200399e-05, + "loss": 5.4421, + "mean_token_accuracy": 0.19080522060394287, + "num_tokens": 16761683.0, + "step": 7660 + }, + { + "entropy": 6.2844563007354735, + "epoch": 8.180459156433528, + "grad_norm": 1.1953125, + "learning_rate": 9.417133141949186e-05, + "loss": 5.4373, + "mean_token_accuracy": 0.1910292387008667, + "num_tokens": 16772828.0, + "step": 7665 + }, + { + "entropy": 6.286375570297241, + "epoch": 8.185798184730379, + "grad_norm": 1.34375, + "learning_rate": 9.392008287915201e-05, + "loss": 5.4376, + "mean_token_accuracy": 0.19190025478601455, + "num_tokens": 16783853.0, + "step": 7670 + }, + { + "entropy": 6.296071195602417, + "epoch": 8.191137213027229, + "grad_norm": 1.3515625, + "learning_rate": 9.366947362799858e-05, + "loss": 5.3816, + "mean_token_accuracy": 0.19442843794822692, + "num_tokens": 16794032.0, + "step": 7675 + }, + { + "entropy": 6.2660017013549805, + "epoch": 8.19647624132408, + "grad_norm": 1.2265625, + "learning_rate": 9.341950455078907e-05, + "loss": 5.4141, + "mean_token_accuracy": 0.19492938816547395, + "num_tokens": 16805269.0, + "step": 7680 + }, + { + "entropy": 6.236077737808228, + "epoch": 8.20181526962093, + "grad_norm": 1.1484375, + "learning_rate": 9.31701765300206e-05, + "loss": 5.2736, + "mean_token_accuracy": 0.2090698704123497, + "num_tokens": 16817116.0, + "step": 7685 + }, + { + "entropy": 6.280970525741577, + "epoch": 8.207154297917779, + "grad_norm": 1.2109375, + "learning_rate": 9.292149044592733e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19769419878721237, + "num_tokens": 16828492.0, + "step": 7690 + }, + { + "entropy": 6.312994480133057, + "epoch": 8.212493326214629, + "grad_norm": 1.1171875, + "learning_rate": 9.267344717647682e-05, + "loss": 5.4436, + "mean_token_accuracy": 0.19130415469408035, + "num_tokens": 16839715.0, + "step": 7695 + }, + { + "entropy": 6.257885408401489, + "epoch": 8.21783235451148, + "grad_norm": 1.1796875, + "learning_rate": 9.242604759736759e-05, + "loss": 5.4476, + "mean_token_accuracy": 0.19316410273313522, + "num_tokens": 16850451.0, + "step": 7700 + }, + { + "entropy": 6.300156831741333, + "epoch": 8.22317138280833, + "grad_norm": 1.1796875, + "learning_rate": 9.217929258202528e-05, + "loss": 5.3927, + "mean_token_accuracy": 0.19539438039064408, + "num_tokens": 16861046.0, + "step": 7705 + }, + { + "entropy": 6.311345863342285, + "epoch": 8.228510411105178, + "grad_norm": 1.25, + "learning_rate": 9.193318300160024e-05, + "loss": 5.358, + "mean_token_accuracy": 0.19471683353185654, + "num_tokens": 16871748.0, + "step": 7710 + }, + { + "entropy": 6.294392871856689, + "epoch": 8.233849439402029, + "grad_norm": 1.1796875, + "learning_rate": 9.168771972496404e-05, + "loss": 5.3503, + "mean_token_accuracy": 0.19816206097602845, + "num_tokens": 16883126.0, + "step": 7715 + }, + { + "entropy": 6.264479064941407, + "epoch": 8.23918846769888, + "grad_norm": 1.203125, + "learning_rate": 9.144290361870652e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.19831522554159164, + "num_tokens": 16894377.0, + "step": 7720 + }, + { + "entropy": 6.309286832809448, + "epoch": 8.24452749599573, + "grad_norm": 1.1796875, + "learning_rate": 9.119873554713274e-05, + "loss": 5.4392, + "mean_token_accuracy": 0.19227964729070662, + "num_tokens": 16905234.0, + "step": 7725 + }, + { + "entropy": 6.304486989974976, + "epoch": 8.249866524292578, + "grad_norm": 1.265625, + "learning_rate": 9.095521637225988e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.1948908343911171, + "num_tokens": 16915031.0, + "step": 7730 + }, + { + "entropy": 6.334994268417359, + "epoch": 8.255205552589429, + "grad_norm": 1.21875, + "learning_rate": 9.071234695381441e-05, + "loss": 5.441, + "mean_token_accuracy": 0.18804772496223449, + "num_tokens": 16926595.0, + "step": 7735 + }, + { + "entropy": 6.2513487339019775, + "epoch": 8.260544580886279, + "grad_norm": 1.2421875, + "learning_rate": 9.04701281492286e-05, + "loss": 5.3925, + "mean_token_accuracy": 0.20451612323522567, + "num_tokens": 16937612.0, + "step": 7740 + }, + { + "entropy": 6.253056144714355, + "epoch": 8.26588360918313, + "grad_norm": 1.1953125, + "learning_rate": 9.022856081363806e-05, + "loss": 5.377, + "mean_token_accuracy": 0.1940850868821144, + "num_tokens": 16948734.0, + "step": 7745 + }, + { + "entropy": 6.265314435958862, + "epoch": 8.271222637479978, + "grad_norm": 1.0546875, + "learning_rate": 8.998764579987823e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.1988656148314476, + "num_tokens": 16961310.0, + "step": 7750 + }, + { + "entropy": 6.3020031452178955, + "epoch": 8.276561665776828, + "grad_norm": 1.3515625, + "learning_rate": 8.974738395848171e-05, + "loss": 5.3774, + "mean_token_accuracy": 0.19321369230747223, + "num_tokens": 16971196.0, + "step": 7755 + }, + { + "entropy": 6.257359170913697, + "epoch": 8.281900694073679, + "grad_norm": 1.0078125, + "learning_rate": 8.950777613767508e-05, + "loss": 5.4115, + "mean_token_accuracy": 0.19390098601579667, + "num_tokens": 16983424.0, + "step": 7760 + }, + { + "entropy": 6.257221746444702, + "epoch": 8.28723972237053, + "grad_norm": 1.234375, + "learning_rate": 8.926882318337586e-05, + "loss": 5.301, + "mean_token_accuracy": 0.19741829335689545, + "num_tokens": 16994389.0, + "step": 7765 + }, + { + "entropy": 6.277281904220581, + "epoch": 8.292578750667378, + "grad_norm": 1.2109375, + "learning_rate": 8.903052593918979e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.1859165444970131, + "num_tokens": 17006239.0, + "step": 7770 + }, + { + "entropy": 6.239947509765625, + "epoch": 8.297917778964228, + "grad_norm": 1.1953125, + "learning_rate": 8.879288524640747e-05, + "loss": 5.3851, + "mean_token_accuracy": 0.18899611085653306, + "num_tokens": 17018648.0, + "step": 7775 + }, + { + "entropy": 6.286568927764892, + "epoch": 8.303256807261079, + "grad_norm": 1.2109375, + "learning_rate": 8.855590194400182e-05, + "loss": 5.4784, + "mean_token_accuracy": 0.18599783927202224, + "num_tokens": 17028965.0, + "step": 7780 + }, + { + "entropy": 6.27871527671814, + "epoch": 8.308595835557929, + "grad_norm": 1.3515625, + "learning_rate": 8.83195768686247e-05, + "loss": 5.4402, + "mean_token_accuracy": 0.18707661628723143, + "num_tokens": 17039432.0, + "step": 7785 + }, + { + "entropy": 6.333696699142456, + "epoch": 8.313934863854778, + "grad_norm": 1.15625, + "learning_rate": 8.808391085460424e-05, + "loss": 5.4866, + "mean_token_accuracy": 0.19333939999341965, + "num_tokens": 17050931.0, + "step": 7790 + }, + { + "entropy": 6.309759092330933, + "epoch": 8.319273892151628, + "grad_norm": 1.1953125, + "learning_rate": 8.784890473394173e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19778697490692138, + "num_tokens": 17062665.0, + "step": 7795 + }, + { + "entropy": 6.358693599700928, + "epoch": 8.324612920448478, + "grad_norm": 1.046875, + "learning_rate": 8.761455933630891e-05, + "loss": 5.4792, + "mean_token_accuracy": 0.18731221705675125, + "num_tokens": 17074008.0, + "step": 7800 + }, + { + "entropy": 6.290230798721313, + "epoch": 8.329951948745329, + "grad_norm": 1.203125, + "learning_rate": 8.738087548904467e-05, + "loss": 5.426, + "mean_token_accuracy": 0.18245502561330795, + "num_tokens": 17084541.0, + "step": 7805 + }, + { + "entropy": 6.289392805099487, + "epoch": 8.335290977042177, + "grad_norm": 1.2265625, + "learning_rate": 8.714785401715258e-05, + "loss": 5.4459, + "mean_token_accuracy": 0.1914304554462433, + "num_tokens": 17095094.0, + "step": 7810 + }, + { + "entropy": 6.31272611618042, + "epoch": 8.340630005339028, + "grad_norm": 1.1640625, + "learning_rate": 8.691549574329752e-05, + "loss": 5.4214, + "mean_token_accuracy": 0.19288700073957443, + "num_tokens": 17105985.0, + "step": 7815 + }, + { + "entropy": 6.292475700378418, + "epoch": 8.345969033635878, + "grad_norm": 1.234375, + "learning_rate": 8.668380148780319e-05, + "loss": 5.4225, + "mean_token_accuracy": 0.18336446732282638, + "num_tokens": 17116016.0, + "step": 7820 + }, + { + "entropy": 6.247875785827636, + "epoch": 8.351308061932729, + "grad_norm": 1.171875, + "learning_rate": 8.64527720686489e-05, + "loss": 5.4281, + "mean_token_accuracy": 0.19529077261686326, + "num_tokens": 17126484.0, + "step": 7825 + }, + { + "entropy": 6.305013608932495, + "epoch": 8.356647090229579, + "grad_norm": 1.25, + "learning_rate": 8.62224083014668e-05, + "loss": 5.4798, + "mean_token_accuracy": 0.19113296419382095, + "num_tokens": 17138108.0, + "step": 7830 + }, + { + "entropy": 6.316189479827881, + "epoch": 8.361986118526428, + "grad_norm": 1.1796875, + "learning_rate": 8.599271099953912e-05, + "loss": 5.4076, + "mean_token_accuracy": 0.1995265394449234, + "num_tokens": 17149224.0, + "step": 7835 + }, + { + "entropy": 6.284372425079345, + "epoch": 8.367325146823278, + "grad_norm": 1.234375, + "learning_rate": 8.576368097379502e-05, + "loss": 5.4442, + "mean_token_accuracy": 0.1908060133457184, + "num_tokens": 17161156.0, + "step": 7840 + }, + { + "entropy": 6.338185119628906, + "epoch": 8.372664175120129, + "grad_norm": 1.3359375, + "learning_rate": 8.553531903280815e-05, + "loss": 5.4417, + "mean_token_accuracy": 0.19008296579122544, + "num_tokens": 17171528.0, + "step": 7845 + }, + { + "entropy": 6.336772871017456, + "epoch": 8.378003203416979, + "grad_norm": 1.125, + "learning_rate": 8.530762598279318e-05, + "loss": 5.5014, + "mean_token_accuracy": 0.18084470331668853, + "num_tokens": 17181784.0, + "step": 7850 + }, + { + "entropy": 6.286856937408447, + "epoch": 8.383342231713828, + "grad_norm": 1.1171875, + "learning_rate": 8.508060262760353e-05, + "loss": 5.3487, + "mean_token_accuracy": 0.20462595373392106, + "num_tokens": 17192988.0, + "step": 7855 + }, + { + "entropy": 6.279626417160034, + "epoch": 8.388681260010678, + "grad_norm": 1.1484375, + "learning_rate": 8.485424976872835e-05, + "loss": 5.4212, + "mean_token_accuracy": 0.18943293690681456, + "num_tokens": 17203759.0, + "step": 7860 + }, + { + "entropy": 6.281919240951538, + "epoch": 8.394020288307528, + "grad_norm": 1.2421875, + "learning_rate": 8.46285682052895e-05, + "loss": 5.377, + "mean_token_accuracy": 0.20012870728969573, + "num_tokens": 17213768.0, + "step": 7865 + }, + { + "entropy": 6.262228155136109, + "epoch": 8.399359316604379, + "grad_norm": 1.15625, + "learning_rate": 8.44035587340391e-05, + "loss": 5.4503, + "mean_token_accuracy": 0.19287367165088654, + "num_tokens": 17225550.0, + "step": 7870 + }, + { + "entropy": 6.332665014266968, + "epoch": 8.404698344901227, + "grad_norm": 1.1796875, + "learning_rate": 8.417922214935621e-05, + "loss": 5.462, + "mean_token_accuracy": 0.18738492280244828, + "num_tokens": 17235969.0, + "step": 7875 + }, + { + "entropy": 6.258744144439698, + "epoch": 8.410037373198078, + "grad_norm": 1.2109375, + "learning_rate": 8.395555924324457e-05, + "loss": 5.3671, + "mean_token_accuracy": 0.20065730661153794, + "num_tokens": 17247529.0, + "step": 7880 + }, + { + "entropy": 6.278067016601563, + "epoch": 8.415376401494928, + "grad_norm": 1.109375, + "learning_rate": 8.37325708053294e-05, + "loss": 5.4302, + "mean_token_accuracy": 0.19352214634418488, + "num_tokens": 17258971.0, + "step": 7885 + }, + { + "entropy": 6.2095043659210205, + "epoch": 8.420715429791779, + "grad_norm": 1.421875, + "learning_rate": 8.35102576228548e-05, + "loss": 5.3371, + "mean_token_accuracy": 0.20132233202457428, + "num_tokens": 17271281.0, + "step": 7890 + }, + { + "entropy": 6.227483892440796, + "epoch": 8.426054458088627, + "grad_norm": 1.34375, + "learning_rate": 8.328862048068089e-05, + "loss": 5.3125, + "mean_token_accuracy": 0.19799865186214446, + "num_tokens": 17281419.0, + "step": 7895 + }, + { + "entropy": 6.268981170654297, + "epoch": 8.431393486385478, + "grad_norm": 1.078125, + "learning_rate": 8.306766016128125e-05, + "loss": 5.37, + "mean_token_accuracy": 0.19525525271892546, + "num_tokens": 17292867.0, + "step": 7900 + }, + { + "entropy": 6.299656820297241, + "epoch": 8.436732514682328, + "grad_norm": 1.3125, + "learning_rate": 8.284737744473972e-05, + "loss": 5.426, + "mean_token_accuracy": 0.19533834755420684, + "num_tokens": 17303565.0, + "step": 7905 + }, + { + "entropy": 6.247980737686158, + "epoch": 8.442071542979178, + "grad_norm": 1.2265625, + "learning_rate": 8.26277731087482e-05, + "loss": 5.3546, + "mean_token_accuracy": 0.18990732878446578, + "num_tokens": 17315107.0, + "step": 7910 + }, + { + "entropy": 6.323516082763672, + "epoch": 8.447410571276027, + "grad_norm": 1.1796875, + "learning_rate": 8.240884792860336e-05, + "loss": 5.4517, + "mean_token_accuracy": 0.18722765147686005, + "num_tokens": 17326606.0, + "step": 7915 + }, + { + "entropy": 6.2622026920318605, + "epoch": 8.452749599572877, + "grad_norm": 1.09375, + "learning_rate": 8.219060267720427e-05, + "loss": 5.4435, + "mean_token_accuracy": 0.18907711058855056, + "num_tokens": 17337503.0, + "step": 7920 + }, + { + "entropy": 6.281539106369019, + "epoch": 8.458088627869728, + "grad_norm": 1.25, + "learning_rate": 8.197303812504968e-05, + "loss": 5.3781, + "mean_token_accuracy": 0.19827369153499602, + "num_tokens": 17347697.0, + "step": 7925 + }, + { + "entropy": 6.314615678787232, + "epoch": 8.463427656166578, + "grad_norm": 1.15625, + "learning_rate": 8.175615504023494e-05, + "loss": 5.5319, + "mean_token_accuracy": 0.17755035161972046, + "num_tokens": 17359656.0, + "step": 7930 + }, + { + "entropy": 6.286178731918335, + "epoch": 8.468766684463427, + "grad_norm": 1.265625, + "learning_rate": 8.153995418844974e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.191170571744442, + "num_tokens": 17370869.0, + "step": 7935 + }, + { + "entropy": 6.290740489959717, + "epoch": 8.474105712760277, + "grad_norm": 1.2109375, + "learning_rate": 8.132443633297508e-05, + "loss": 5.3663, + "mean_token_accuracy": 0.20106685310602188, + "num_tokens": 17380716.0, + "step": 7940 + }, + { + "entropy": 6.300388383865356, + "epoch": 8.479444741057128, + "grad_norm": 1.2265625, + "learning_rate": 8.110960223468077e-05, + "loss": 5.4171, + "mean_token_accuracy": 0.1983788177371025, + "num_tokens": 17392012.0, + "step": 7945 + }, + { + "entropy": 6.256002759933471, + "epoch": 8.484783769353978, + "grad_norm": 1.09375, + "learning_rate": 8.089545265202258e-05, + "loss": 5.3892, + "mean_token_accuracy": 0.19373163133859633, + "num_tokens": 17403199.0, + "step": 7950 + }, + { + "entropy": 6.30955057144165, + "epoch": 8.490122797650827, + "grad_norm": 1.21875, + "learning_rate": 8.068198834103967e-05, + "loss": 5.4173, + "mean_token_accuracy": 0.19167587906122208, + "num_tokens": 17414020.0, + "step": 7955 + }, + { + "entropy": 6.248732852935791, + "epoch": 8.495461825947677, + "grad_norm": 1.3359375, + "learning_rate": 8.046921005535198e-05, + "loss": 5.4111, + "mean_token_accuracy": 0.19576088786125184, + "num_tokens": 17425460.0, + "step": 7960 + }, + { + "entropy": 6.26835789680481, + "epoch": 8.500800854244527, + "grad_norm": 1.1015625, + "learning_rate": 8.02571185461574e-05, + "loss": 5.3683, + "mean_token_accuracy": 0.19737352728843688, + "num_tokens": 17435819.0, + "step": 7965 + }, + { + "entropy": 6.298630714416504, + "epoch": 8.506139882541378, + "grad_norm": 1.3125, + "learning_rate": 8.004571456222928e-05, + "loss": 5.4343, + "mean_token_accuracy": 0.1900707334280014, + "num_tokens": 17446000.0, + "step": 7970 + }, + { + "entropy": 6.339548397064209, + "epoch": 8.511478910838228, + "grad_norm": 1.1171875, + "learning_rate": 7.983499884991356e-05, + "loss": 5.4799, + "mean_token_accuracy": 0.18726177364587784, + "num_tokens": 17456986.0, + "step": 7975 + }, + { + "entropy": 6.317312383651734, + "epoch": 8.516817939135077, + "grad_norm": 1.2734375, + "learning_rate": 7.962497215312662e-05, + "loss": 5.4299, + "mean_token_accuracy": 0.19350540190935134, + "num_tokens": 17467144.0, + "step": 7980 + }, + { + "entropy": 6.330316781997681, + "epoch": 8.522156967431927, + "grad_norm": 1.21875, + "learning_rate": 7.94156352133518e-05, + "loss": 5.4731, + "mean_token_accuracy": 0.1904843494296074, + "num_tokens": 17479243.0, + "step": 7985 + }, + { + "entropy": 6.309084367752075, + "epoch": 8.527495995728778, + "grad_norm": 1.1875, + "learning_rate": 7.920698876963784e-05, + "loss": 5.3797, + "mean_token_accuracy": 0.19125119149684905, + "num_tokens": 17490447.0, + "step": 7990 + }, + { + "entropy": 6.285092973709107, + "epoch": 8.532835024025628, + "grad_norm": 1.2109375, + "learning_rate": 7.899903355859534e-05, + "loss": 5.4727, + "mean_token_accuracy": 0.18608825355768205, + "num_tokens": 17500464.0, + "step": 7995 + }, + { + "entropy": 6.267555618286133, + "epoch": 8.538174052322477, + "grad_norm": 1.5546875, + "learning_rate": 7.879177031439487e-05, + "loss": 5.4077, + "mean_token_accuracy": 0.1957908973097801, + "num_tokens": 17510189.0, + "step": 8000 + }, + { + "epoch": 8.538174052322477, + "eval_entropy": 6.129665725262134, + "eval_loss": 6.549795627593994, + "eval_mean_token_accuracy": 0.13511817216292604, + "eval_num_tokens": 17510189.0, + "eval_runtime": 1.8063, + "eval_samples_per_second": 1705.136, + "eval_steps_per_second": 213.142, + "step": 8000 + }, + { + "entropy": 6.260827922821045, + "epoch": 8.543513080619327, + "grad_norm": 1.2421875, + "learning_rate": 7.858519976876375e-05, + "loss": 5.4092, + "mean_token_accuracy": 0.19452549070119857, + "num_tokens": 17521622.0, + "step": 8005 + }, + { + "entropy": 6.289570903778076, + "epoch": 8.548852108916178, + "grad_norm": 1.265625, + "learning_rate": 7.837932265098407e-05, + "loss": 5.3852, + "mean_token_accuracy": 0.1945295363664627, + "num_tokens": 17532483.0, + "step": 8010 + }, + { + "entropy": 6.254086351394653, + "epoch": 8.554191137213028, + "grad_norm": 1.171875, + "learning_rate": 7.817413968788965e-05, + "loss": 5.4318, + "mean_token_accuracy": 0.19627286940813066, + "num_tokens": 17543402.0, + "step": 8015 + }, + { + "entropy": 6.224242401123047, + "epoch": 8.559530165509877, + "grad_norm": 1.2265625, + "learning_rate": 7.796965160386362e-05, + "loss": 5.3644, + "mean_token_accuracy": 0.20089459866285325, + "num_tokens": 17554395.0, + "step": 8020 + }, + { + "entropy": 6.309196805953979, + "epoch": 8.564869193806727, + "grad_norm": 1.1953125, + "learning_rate": 7.776585912083605e-05, + "loss": 5.4384, + "mean_token_accuracy": 0.1892755374312401, + "num_tokens": 17566481.0, + "step": 8025 + }, + { + "entropy": 6.273343563079834, + "epoch": 8.570208222103577, + "grad_norm": 1.3046875, + "learning_rate": 7.756276295828108e-05, + "loss": 5.2555, + "mean_token_accuracy": 0.1954508826136589, + "num_tokens": 17576807.0, + "step": 8030 + }, + { + "entropy": 6.303921890258789, + "epoch": 8.575547250400428, + "grad_norm": 1.265625, + "learning_rate": 7.736036383321467e-05, + "loss": 5.3849, + "mean_token_accuracy": 0.20346123427152635, + "num_tokens": 17587176.0, + "step": 8035 + }, + { + "entropy": 6.255138206481933, + "epoch": 8.580886278697276, + "grad_norm": 1.21875, + "learning_rate": 7.715866246019181e-05, + "loss": 5.3759, + "mean_token_accuracy": 0.1968400612473488, + "num_tokens": 17598681.0, + "step": 8040 + }, + { + "entropy": 6.262888479232788, + "epoch": 8.586225306994127, + "grad_norm": 1.2421875, + "learning_rate": 7.695765955130439e-05, + "loss": 5.4428, + "mean_token_accuracy": 0.1876814156770706, + "num_tokens": 17611782.0, + "step": 8045 + }, + { + "entropy": 6.342615556716919, + "epoch": 8.591564335290977, + "grad_norm": 1.234375, + "learning_rate": 7.675735581617799e-05, + "loss": 5.3968, + "mean_token_accuracy": 0.1906011000275612, + "num_tokens": 17623422.0, + "step": 8050 + }, + { + "entropy": 6.258514022827148, + "epoch": 8.596903363587828, + "grad_norm": 1.015625, + "learning_rate": 7.655775196197017e-05, + "loss": 5.3518, + "mean_token_accuracy": 0.20063089579343796, + "num_tokens": 17635844.0, + "step": 8055 + }, + { + "entropy": 6.334230518341064, + "epoch": 8.602242391884676, + "grad_norm": 1.234375, + "learning_rate": 7.635884869336753e-05, + "loss": 5.4009, + "mean_token_accuracy": 0.19301522970199586, + "num_tokens": 17646476.0, + "step": 8060 + }, + { + "entropy": 6.269136762619018, + "epoch": 8.607581420181527, + "grad_norm": 1.109375, + "learning_rate": 7.616064671258323e-05, + "loss": 5.3929, + "mean_token_accuracy": 0.19156181663274766, + "num_tokens": 17658601.0, + "step": 8065 + }, + { + "entropy": 6.231473970413208, + "epoch": 8.612920448478377, + "grad_norm": 1.1171875, + "learning_rate": 7.596314671935467e-05, + "loss": 5.32, + "mean_token_accuracy": 0.1986356794834137, + "num_tokens": 17669287.0, + "step": 8070 + }, + { + "entropy": 6.267216491699219, + "epoch": 8.618259476775227, + "grad_norm": 1.28125, + "learning_rate": 7.576634941094082e-05, + "loss": 5.3243, + "mean_token_accuracy": 0.19997939467430115, + "num_tokens": 17679545.0, + "step": 8075 + }, + { + "entropy": 6.307940292358398, + "epoch": 8.623598505072078, + "grad_norm": 1.3203125, + "learning_rate": 7.557025548212012e-05, + "loss": 5.4149, + "mean_token_accuracy": 0.1952625036239624, + "num_tokens": 17689779.0, + "step": 8080 + }, + { + "entropy": 6.272298049926758, + "epoch": 8.628937533368926, + "grad_norm": 1.1796875, + "learning_rate": 7.537486562518735e-05, + "loss": 5.4555, + "mean_token_accuracy": 0.1893584817647934, + "num_tokens": 17702643.0, + "step": 8085 + }, + { + "entropy": 6.264082765579223, + "epoch": 8.634276561665777, + "grad_norm": 1.265625, + "learning_rate": 7.518018052995208e-05, + "loss": 5.4366, + "mean_token_accuracy": 0.19213759452104567, + "num_tokens": 17713166.0, + "step": 8090 + }, + { + "entropy": 6.306223630905151, + "epoch": 8.639615589962627, + "grad_norm": 1.0546875, + "learning_rate": 7.498620088373544e-05, + "loss": 5.452, + "mean_token_accuracy": 0.1918992280960083, + "num_tokens": 17724822.0, + "step": 8095 + }, + { + "entropy": 6.263330554962158, + "epoch": 8.644954618259476, + "grad_norm": 1.171875, + "learning_rate": 7.479292737136828e-05, + "loss": 5.306, + "mean_token_accuracy": 0.1935967832803726, + "num_tokens": 17737078.0, + "step": 8100 + }, + { + "entropy": 6.295151472091675, + "epoch": 8.650293646556326, + "grad_norm": 1.2109375, + "learning_rate": 7.460036067518823e-05, + "loss": 5.4485, + "mean_token_accuracy": 0.18652090430259705, + "num_tokens": 17747670.0, + "step": 8105 + }, + { + "entropy": 6.289189004898072, + "epoch": 8.655632674853177, + "grad_norm": 1.203125, + "learning_rate": 7.44085014750378e-05, + "loss": 5.4625, + "mean_token_accuracy": 0.19083506464958191, + "num_tokens": 17758797.0, + "step": 8110 + }, + { + "entropy": 6.2896851062774655, + "epoch": 8.660971703150027, + "grad_norm": 1.2109375, + "learning_rate": 7.421735044826161e-05, + "loss": 5.4579, + "mean_token_accuracy": 0.19278580099344253, + "num_tokens": 17768713.0, + "step": 8115 + }, + { + "entropy": 6.365323209762574, + "epoch": 8.666310731446877, + "grad_norm": 1.2265625, + "learning_rate": 7.40269082697041e-05, + "loss": 5.4318, + "mean_token_accuracy": 0.19228217154741287, + "num_tokens": 17778964.0, + "step": 8120 + }, + { + "entropy": 6.255847215652466, + "epoch": 8.671649759743726, + "grad_norm": 1.1796875, + "learning_rate": 7.383717561170728e-05, + "loss": 5.3435, + "mean_token_accuracy": 0.20172299146652223, + "num_tokens": 17790108.0, + "step": 8125 + }, + { + "entropy": 6.313925886154175, + "epoch": 8.676988788040576, + "grad_norm": 1.1171875, + "learning_rate": 7.364815314410816e-05, + "loss": 5.4923, + "mean_token_accuracy": 0.19610096514225006, + "num_tokens": 17801626.0, + "step": 8130 + }, + { + "entropy": 6.339280319213867, + "epoch": 8.682327816337427, + "grad_norm": 1.140625, + "learning_rate": 7.345984153423656e-05, + "loss": 5.4846, + "mean_token_accuracy": 0.18328692018985748, + "num_tokens": 17812355.0, + "step": 8135 + }, + { + "entropy": 6.288567733764649, + "epoch": 8.687666844634277, + "grad_norm": 1.2890625, + "learning_rate": 7.327224144691255e-05, + "loss": 5.4559, + "mean_token_accuracy": 0.18972910493612288, + "num_tokens": 17822986.0, + "step": 8140 + }, + { + "entropy": 6.30386004447937, + "epoch": 8.693005872931126, + "grad_norm": 1.3828125, + "learning_rate": 7.30853535444444e-05, + "loss": 5.3695, + "mean_token_accuracy": 0.19032205194234847, + "num_tokens": 17833656.0, + "step": 8145 + }, + { + "entropy": 6.334438371658325, + "epoch": 8.698344901227976, + "grad_norm": 1.1484375, + "learning_rate": 7.289917848662582e-05, + "loss": 5.4056, + "mean_token_accuracy": 0.19864920377731324, + "num_tokens": 17844124.0, + "step": 8150 + }, + { + "entropy": 6.333331680297851, + "epoch": 8.703683929524827, + "grad_norm": 1.3046875, + "learning_rate": 7.271371693073408e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.19299320131540298, + "num_tokens": 17853528.0, + "step": 8155 + }, + { + "entropy": 6.215679454803467, + "epoch": 8.709022957821677, + "grad_norm": 1.25, + "learning_rate": 7.252896953152744e-05, + "loss": 5.3577, + "mean_token_accuracy": 0.1953199803829193, + "num_tokens": 17864599.0, + "step": 8160 + }, + { + "entropy": 6.3130731105804445, + "epoch": 8.714361986118526, + "grad_norm": 1.1875, + "learning_rate": 7.23449369412428e-05, + "loss": 5.4122, + "mean_token_accuracy": 0.19741948544979096, + "num_tokens": 17874829.0, + "step": 8165 + }, + { + "entropy": 6.300188207626343, + "epoch": 8.719701014415376, + "grad_norm": 1.265625, + "learning_rate": 7.216161980959363e-05, + "loss": 5.3857, + "mean_token_accuracy": 0.19758072048425673, + "num_tokens": 17884914.0, + "step": 8170 + }, + { + "entropy": 6.2661253929138185, + "epoch": 8.725040042712227, + "grad_norm": 1.2578125, + "learning_rate": 7.197901878376732e-05, + "loss": 5.3757, + "mean_token_accuracy": 0.1984149172902107, + "num_tokens": 17896156.0, + "step": 8175 + }, + { + "entropy": 6.25427360534668, + "epoch": 8.730379071009077, + "grad_norm": 1.265625, + "learning_rate": 7.179713450842338e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.18684110045433044, + "num_tokens": 17906446.0, + "step": 8180 + }, + { + "entropy": 6.279653835296631, + "epoch": 8.735718099305926, + "grad_norm": 1.125, + "learning_rate": 7.161596762569051e-05, + "loss": 5.4131, + "mean_token_accuracy": 0.18811364769935607, + "num_tokens": 17918488.0, + "step": 8185 + }, + { + "entropy": 6.2619095802307125, + "epoch": 8.741057127602776, + "grad_norm": 1.296875, + "learning_rate": 7.143551877516509e-05, + "loss": 5.415, + "mean_token_accuracy": 0.19475423395633698, + "num_tokens": 17928486.0, + "step": 8190 + }, + { + "entropy": 6.161016273498535, + "epoch": 8.746396155899626, + "grad_norm": 1.21875, + "learning_rate": 7.125578859390828e-05, + "loss": 5.3103, + "mean_token_accuracy": 0.2026986762881279, + "num_tokens": 17939036.0, + "step": 8195 + }, + { + "entropy": 6.322266101837158, + "epoch": 8.751735184196477, + "grad_norm": 1.25, + "learning_rate": 7.107677771644419e-05, + "loss": 5.4278, + "mean_token_accuracy": 0.19225548058748246, + "num_tokens": 17949610.0, + "step": 8200 + }, + { + "entropy": 6.283733224868774, + "epoch": 8.757074212493325, + "grad_norm": 1.265625, + "learning_rate": 7.089848677475735e-05, + "loss": 5.3987, + "mean_token_accuracy": 0.19772477447986603, + "num_tokens": 17960110.0, + "step": 8205 + }, + { + "entropy": 6.319091415405273, + "epoch": 8.762413240790176, + "grad_norm": 1.328125, + "learning_rate": 7.072091639829079e-05, + "loss": 5.4614, + "mean_token_accuracy": 0.18673837184906006, + "num_tokens": 17970293.0, + "step": 8210 + }, + { + "entropy": 6.276460742950439, + "epoch": 8.767752269087026, + "grad_norm": 1.34375, + "learning_rate": 7.054406721394338e-05, + "loss": 5.4007, + "mean_token_accuracy": 0.19787448197603225, + "num_tokens": 17981615.0, + "step": 8215 + }, + { + "entropy": 6.209004163742065, + "epoch": 8.773091297383877, + "grad_norm": 1.328125, + "learning_rate": 7.036793984606808e-05, + "loss": 5.2191, + "mean_token_accuracy": 0.20935241430997847, + "num_tokens": 17992083.0, + "step": 8220 + }, + { + "entropy": 6.287459468841552, + "epoch": 8.778430325680727, + "grad_norm": 1.2421875, + "learning_rate": 7.019253491646954e-05, + "loss": 5.4236, + "mean_token_accuracy": 0.1912770926952362, + "num_tokens": 18003374.0, + "step": 8225 + }, + { + "entropy": 6.320337247848511, + "epoch": 8.783769353977576, + "grad_norm": 1.109375, + "learning_rate": 7.001785304440168e-05, + "loss": 5.4061, + "mean_token_accuracy": 0.19370096325874328, + "num_tokens": 18015450.0, + "step": 8230 + }, + { + "entropy": 6.319497776031494, + "epoch": 8.789108382274426, + "grad_norm": 1.15625, + "learning_rate": 6.9843894846566e-05, + "loss": 5.4613, + "mean_token_accuracy": 0.19284655153751373, + "num_tokens": 18026387.0, + "step": 8235 + }, + { + "entropy": 6.297713279724121, + "epoch": 8.794447410571276, + "grad_norm": 1.1328125, + "learning_rate": 6.967066093710892e-05, + "loss": 5.543, + "mean_token_accuracy": 0.18906300365924836, + "num_tokens": 18038387.0, + "step": 8240 + }, + { + "entropy": 6.267315292358399, + "epoch": 8.799786438868125, + "grad_norm": 1.2421875, + "learning_rate": 6.949815192761993e-05, + "loss": 5.3562, + "mean_token_accuracy": 0.19610127210617065, + "num_tokens": 18048957.0, + "step": 8245 + }, + { + "entropy": 6.1813019752502445, + "epoch": 8.805125467164975, + "grad_norm": 1.34375, + "learning_rate": 6.932636842712914e-05, + "loss": 5.33, + "mean_token_accuracy": 0.2018466502428055, + "num_tokens": 18059750.0, + "step": 8250 + }, + { + "entropy": 6.306232166290283, + "epoch": 8.810464495461826, + "grad_norm": 1.25, + "learning_rate": 6.915531104210554e-05, + "loss": 5.4618, + "mean_token_accuracy": 0.18518505543470382, + "num_tokens": 18070321.0, + "step": 8255 + }, + { + "entropy": 6.278579187393189, + "epoch": 8.815803523758676, + "grad_norm": 1.09375, + "learning_rate": 6.898498037645451e-05, + "loss": 5.4655, + "mean_token_accuracy": 0.18751134872436523, + "num_tokens": 18082322.0, + "step": 8260 + }, + { + "entropy": 6.325710391998291, + "epoch": 8.821142552055527, + "grad_norm": 1.171875, + "learning_rate": 6.881537703151575e-05, + "loss": 5.3813, + "mean_token_accuracy": 0.1982166588306427, + "num_tokens": 18093379.0, + "step": 8265 + }, + { + "entropy": 6.189786672592163, + "epoch": 8.826481580352375, + "grad_norm": 1.25, + "learning_rate": 6.864650160606131e-05, + "loss": 5.2825, + "mean_token_accuracy": 0.20476205050945281, + "num_tokens": 18105365.0, + "step": 8270 + }, + { + "entropy": 6.2697841167449955, + "epoch": 8.831820608649226, + "grad_norm": 1.21875, + "learning_rate": 6.847835469629332e-05, + "loss": 5.3277, + "mean_token_accuracy": 0.2016316384077072, + "num_tokens": 18116058.0, + "step": 8275 + }, + { + "entropy": 6.314205932617187, + "epoch": 8.837159636946076, + "grad_norm": 1.265625, + "learning_rate": 6.831093689584193e-05, + "loss": 5.4293, + "mean_token_accuracy": 0.19054114669561387, + "num_tokens": 18126771.0, + "step": 8280 + }, + { + "entropy": 6.288633871078491, + "epoch": 8.842498665242926, + "grad_norm": 1.2421875, + "learning_rate": 6.814424879576321e-05, + "loss": 5.423, + "mean_token_accuracy": 0.19208714216947556, + "num_tokens": 18137384.0, + "step": 8285 + }, + { + "entropy": 6.259862089157105, + "epoch": 8.847837693539775, + "grad_norm": 1.203125, + "learning_rate": 6.797829098453717e-05, + "loss": 5.4301, + "mean_token_accuracy": 0.19221352338790892, + "num_tokens": 18148230.0, + "step": 8290 + }, + { + "entropy": 6.305414438247681, + "epoch": 8.853176721836626, + "grad_norm": 1.2109375, + "learning_rate": 6.781306404806544e-05, + "loss": 5.5183, + "mean_token_accuracy": 0.18625222146511078, + "num_tokens": 18159184.0, + "step": 8295 + }, + { + "entropy": 6.286434888839722, + "epoch": 8.858515750133476, + "grad_norm": 1.15625, + "learning_rate": 6.764856856966952e-05, + "loss": 5.416, + "mean_token_accuracy": 0.1962931737303734, + "num_tokens": 18170336.0, + "step": 8300 + }, + { + "entropy": 6.335140943527222, + "epoch": 8.863854778430326, + "grad_norm": 1.265625, + "learning_rate": 6.748480513008843e-05, + "loss": 5.4185, + "mean_token_accuracy": 0.19309814125299454, + "num_tokens": 18181428.0, + "step": 8305 + }, + { + "entropy": 6.326192474365234, + "epoch": 8.869193806727175, + "grad_norm": 1.203125, + "learning_rate": 6.732177430747685e-05, + "loss": 5.4468, + "mean_token_accuracy": 0.19147571921348572, + "num_tokens": 18192452.0, + "step": 8310 + }, + { + "entropy": 6.315118980407715, + "epoch": 8.874532835024025, + "grad_norm": 1.21875, + "learning_rate": 6.715947667740298e-05, + "loss": 5.4147, + "mean_token_accuracy": 0.19402022659778595, + "num_tokens": 18203374.0, + "step": 8315 + }, + { + "entropy": 6.273036479949951, + "epoch": 8.879871863320876, + "grad_norm": 1.1875, + "learning_rate": 6.699791281284645e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.19211985021829606, + "num_tokens": 18214420.0, + "step": 8320 + }, + { + "entropy": 6.283283376693726, + "epoch": 8.885210891617726, + "grad_norm": 1.1875, + "learning_rate": 6.68370832841966e-05, + "loss": 5.4441, + "mean_token_accuracy": 0.1880252718925476, + "num_tokens": 18226176.0, + "step": 8325 + }, + { + "entropy": 6.352131271362305, + "epoch": 8.890549919914575, + "grad_norm": 1.3125, + "learning_rate": 6.667698865924998e-05, + "loss": 5.4257, + "mean_token_accuracy": 0.19260345548391342, + "num_tokens": 18236792.0, + "step": 8330 + }, + { + "entropy": 6.2733378410339355, + "epoch": 8.895888948211425, + "grad_norm": 1.1796875, + "learning_rate": 6.651762950320893e-05, + "loss": 5.4312, + "mean_token_accuracy": 0.19283699989318848, + "num_tokens": 18248047.0, + "step": 8335 + }, + { + "entropy": 6.2758337497711185, + "epoch": 8.901227976508276, + "grad_norm": 1.1328125, + "learning_rate": 6.635900637867902e-05, + "loss": 5.376, + "mean_token_accuracy": 0.2016781061887741, + "num_tokens": 18258093.0, + "step": 8340 + }, + { + "entropy": 6.266999101638794, + "epoch": 8.906567004805126, + "grad_norm": 1.3515625, + "learning_rate": 6.620111984566739e-05, + "loss": 5.3901, + "mean_token_accuracy": 0.19536768645048141, + "num_tokens": 18268649.0, + "step": 8345 + }, + { + "entropy": 6.2864086627960205, + "epoch": 8.911906033101975, + "grad_norm": 1.1796875, + "learning_rate": 6.604397046158066e-05, + "loss": 5.3957, + "mean_token_accuracy": 0.19759741872549058, + "num_tokens": 18278127.0, + "step": 8350 + }, + { + "entropy": 6.262919664382935, + "epoch": 8.917245061398825, + "grad_norm": 1.21875, + "learning_rate": 6.588755878122318e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19958573281764985, + "num_tokens": 18289288.0, + "step": 8355 + }, + { + "entropy": 6.278789710998535, + "epoch": 8.922584089695675, + "grad_norm": 1.109375, + "learning_rate": 6.573188535679464e-05, + "loss": 5.3924, + "mean_token_accuracy": 0.19610107094049453, + "num_tokens": 18299482.0, + "step": 8360 + }, + { + "entropy": 6.237138795852661, + "epoch": 8.927923117992526, + "grad_norm": 1.2421875, + "learning_rate": 6.557695073788853e-05, + "loss": 5.2958, + "mean_token_accuracy": 0.20035430788993835, + "num_tokens": 18309499.0, + "step": 8365 + }, + { + "entropy": 6.274085283279419, + "epoch": 8.933262146289376, + "grad_norm": 1.1796875, + "learning_rate": 6.542275547149005e-05, + "loss": 5.3748, + "mean_token_accuracy": 0.19981057792901993, + "num_tokens": 18320106.0, + "step": 8370 + }, + { + "entropy": 6.286875486373901, + "epoch": 8.938601174586225, + "grad_norm": 1.203125, + "learning_rate": 6.526930010197412e-05, + "loss": 5.4601, + "mean_token_accuracy": 0.1885668605566025, + "num_tokens": 18331657.0, + "step": 8375 + }, + { + "entropy": 6.303912401199341, + "epoch": 8.943940202883075, + "grad_norm": 1.1875, + "learning_rate": 6.511658517110346e-05, + "loss": 5.5049, + "mean_token_accuracy": 0.18762866109609605, + "num_tokens": 18342951.0, + "step": 8380 + }, + { + "entropy": 6.258378219604492, + "epoch": 8.949279231179926, + "grad_norm": 1.3203125, + "learning_rate": 6.496461121802679e-05, + "loss": 5.3829, + "mean_token_accuracy": 0.1956523537635803, + "num_tokens": 18353515.0, + "step": 8385 + }, + { + "entropy": 6.277213478088379, + "epoch": 8.954618259476776, + "grad_norm": 1.2890625, + "learning_rate": 6.48133787792769e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.19595738202333451, + "num_tokens": 18365139.0, + "step": 8390 + }, + { + "entropy": 6.267573308944702, + "epoch": 8.959957287773625, + "grad_norm": 1.1328125, + "learning_rate": 6.46628883887686e-05, + "loss": 5.4344, + "mean_token_accuracy": 0.19399414509534835, + "num_tokens": 18376426.0, + "step": 8395 + }, + { + "entropy": 6.318247222900391, + "epoch": 8.965296316070475, + "grad_norm": 1.0546875, + "learning_rate": 6.451314057779708e-05, + "loss": 5.4031, + "mean_token_accuracy": 0.1949224889278412, + "num_tokens": 18387643.0, + "step": 8400 + }, + { + "entropy": 6.2453080177307125, + "epoch": 8.970635344367325, + "grad_norm": 1.34375, + "learning_rate": 6.436413587503588e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19522539228200914, + "num_tokens": 18397625.0, + "step": 8405 + }, + { + "entropy": 6.24573826789856, + "epoch": 8.975974372664176, + "grad_norm": 1.125, + "learning_rate": 6.421587480653497e-05, + "loss": 5.4012, + "mean_token_accuracy": 0.19939807951450347, + "num_tokens": 18410033.0, + "step": 8410 + }, + { + "entropy": 6.2669624328613285, + "epoch": 8.981313400961024, + "grad_norm": 1.140625, + "learning_rate": 6.406835789571905e-05, + "loss": 5.3825, + "mean_token_accuracy": 0.19407907128334045, + "num_tokens": 18421020.0, + "step": 8415 + }, + { + "entropy": 6.294377422332763, + "epoch": 8.986652429257875, + "grad_norm": 1.0703125, + "learning_rate": 6.392158566338561e-05, + "loss": 5.4217, + "mean_token_accuracy": 0.19481519758701324, + "num_tokens": 18432884.0, + "step": 8420 + }, + { + "entropy": 6.332372999191284, + "epoch": 8.991991457554725, + "grad_norm": 1.1640625, + "learning_rate": 6.377555862770311e-05, + "loss": 5.4752, + "mean_token_accuracy": 0.17780984342098236, + "num_tokens": 18443478.0, + "step": 8425 + }, + { + "entropy": 6.326786518096924, + "epoch": 8.997330485851576, + "grad_norm": 1.1953125, + "learning_rate": 6.363027730420915e-05, + "loss": 5.4363, + "mean_token_accuracy": 0.19262375235557555, + "num_tokens": 18453943.0, + "step": 8430 + }, + { + "entropy": 6.3219667010837135, + "epoch": 9.00213561131874, + "grad_norm": 1.1171875, + "learning_rate": 6.348574220580863e-05, + "loss": 5.3917, + "mean_token_accuracy": 0.19410793317688835, + "num_tokens": 18464880.0, + "step": 8435 + }, + { + "entropy": 6.291064596176147, + "epoch": 9.00747463961559, + "grad_norm": 1.109375, + "learning_rate": 6.334195384277198e-05, + "loss": 5.3365, + "mean_token_accuracy": 0.19902778118848802, + "num_tokens": 18475884.0, + "step": 8440 + }, + { + "entropy": 6.322910499572754, + "epoch": 9.01281366791244, + "grad_norm": 1.328125, + "learning_rate": 6.319891272273333e-05, + "loss": 5.397, + "mean_token_accuracy": 0.19973329156637193, + "num_tokens": 18486900.0, + "step": 8445 + }, + { + "entropy": 6.2828192710876465, + "epoch": 9.01815269620929, + "grad_norm": 1.265625, + "learning_rate": 6.30566193506887e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.1961638391017914, + "num_tokens": 18497070.0, + "step": 8450 + }, + { + "entropy": 6.302260255813598, + "epoch": 9.02349172450614, + "grad_norm": 1.1640625, + "learning_rate": 6.291507422899425e-05, + "loss": 5.4474, + "mean_token_accuracy": 0.19043018370866777, + "num_tokens": 18508778.0, + "step": 8455 + }, + { + "entropy": 6.300608444213867, + "epoch": 9.028830752802989, + "grad_norm": 1.1953125, + "learning_rate": 6.277427785736455e-05, + "loss": 5.4072, + "mean_token_accuracy": 0.1943545952439308, + "num_tokens": 18521076.0, + "step": 8460 + }, + { + "entropy": 6.291013383865357, + "epoch": 9.03416978109984, + "grad_norm": 1.2109375, + "learning_rate": 6.26342307328707e-05, + "loss": 5.3299, + "mean_token_accuracy": 0.19972898364067077, + "num_tokens": 18532582.0, + "step": 8465 + }, + { + "entropy": 6.308874654769897, + "epoch": 9.03950880939669, + "grad_norm": 1.25, + "learning_rate": 6.249493334993873e-05, + "loss": 5.3802, + "mean_token_accuracy": 0.19778040051460266, + "num_tokens": 18543263.0, + "step": 8470 + }, + { + "entropy": 6.294857692718506, + "epoch": 9.04484783769354, + "grad_norm": 1.375, + "learning_rate": 6.235638620034756e-05, + "loss": 5.4241, + "mean_token_accuracy": 0.1885809302330017, + "num_tokens": 18554367.0, + "step": 8475 + }, + { + "entropy": 6.267254829406738, + "epoch": 9.05018686599039, + "grad_norm": 1.2421875, + "learning_rate": 6.221858977322774e-05, + "loss": 5.352, + "mean_token_accuracy": 0.20446752309799193, + "num_tokens": 18565075.0, + "step": 8480 + }, + { + "entropy": 6.256584358215332, + "epoch": 9.05552589428724, + "grad_norm": 1.203125, + "learning_rate": 6.208154455505918e-05, + "loss": 5.3011, + "mean_token_accuracy": 0.20374154597520827, + "num_tokens": 18575166.0, + "step": 8485 + }, + { + "entropy": 6.303496646881103, + "epoch": 9.06086492258409, + "grad_norm": 1.125, + "learning_rate": 6.194525102966997e-05, + "loss": 5.4337, + "mean_token_accuracy": 0.19414404034614563, + "num_tokens": 18586975.0, + "step": 8490 + }, + { + "entropy": 6.254971933364868, + "epoch": 9.06620395088094, + "grad_norm": 1.1953125, + "learning_rate": 6.180970967823415e-05, + "loss": 5.2621, + "mean_token_accuracy": 0.21001349538564681, + "num_tokens": 18598524.0, + "step": 8495 + }, + { + "entropy": 6.264356327056885, + "epoch": 9.07154297917779, + "grad_norm": 1.203125, + "learning_rate": 6.167492097927051e-05, + "loss": 5.3619, + "mean_token_accuracy": 0.19953151643276215, + "num_tokens": 18609099.0, + "step": 8500 + }, + { + "epoch": 9.07154297917779, + "eval_entropy": 6.114785921418822, + "eval_loss": 6.549992561340332, + "eval_mean_token_accuracy": 0.13512441571076195, + "eval_num_tokens": 18609099.0, + "eval_runtime": 1.8163, + "eval_samples_per_second": 1695.776, + "eval_steps_per_second": 211.972, + "step": 8500 + }, + { + "entropy": 6.229560041427613, + "epoch": 9.076882007474639, + "grad_norm": 1.328125, + "learning_rate": 6.154088540864045e-05, + "loss": 5.338, + "mean_token_accuracy": 0.19794839322566987, + "num_tokens": 18619901.0, + "step": 8505 + }, + { + "entropy": 6.291391324996948, + "epoch": 9.08222103577149, + "grad_norm": 1.484375, + "learning_rate": 6.140760343954654e-05, + "loss": 5.3933, + "mean_token_accuracy": 0.2033597096800804, + "num_tokens": 18629556.0, + "step": 8510 + }, + { + "entropy": 6.246613550186157, + "epoch": 9.08756006406834, + "grad_norm": 1.15625, + "learning_rate": 6.127507554253101e-05, + "loss": 5.3003, + "mean_token_accuracy": 0.20000605434179305, + "num_tokens": 18640487.0, + "step": 8515 + }, + { + "entropy": 6.2668591976165775, + "epoch": 9.09289909236519, + "grad_norm": 1.0625, + "learning_rate": 6.11433021854736e-05, + "loss": 5.4005, + "mean_token_accuracy": 0.19509114921092988, + "num_tokens": 18651828.0, + "step": 8520 + }, + { + "entropy": 6.2748137474060055, + "epoch": 9.098238120662039, + "grad_norm": 1.2578125, + "learning_rate": 6.1012283833590465e-05, + "loss": 5.4124, + "mean_token_accuracy": 0.19893601536750793, + "num_tokens": 18662673.0, + "step": 8525 + }, + { + "entropy": 6.260831069946289, + "epoch": 9.10357714895889, + "grad_norm": 1.265625, + "learning_rate": 6.088202094943207e-05, + "loss": 5.4026, + "mean_token_accuracy": 0.19352519661188125, + "num_tokens": 18672345.0, + "step": 8530 + }, + { + "entropy": 6.315216684341431, + "epoch": 9.10891617725574, + "grad_norm": 1.1796875, + "learning_rate": 6.075251399288193e-05, + "loss": 5.4823, + "mean_token_accuracy": 0.1841621220111847, + "num_tokens": 18684514.0, + "step": 8535 + }, + { + "entropy": 6.250639724731445, + "epoch": 9.11425520555259, + "grad_norm": 1.2109375, + "learning_rate": 6.062376342115465e-05, + "loss": 5.3459, + "mean_token_accuracy": 0.20057544261217117, + "num_tokens": 18694986.0, + "step": 8540 + }, + { + "entropy": 6.322076272964478, + "epoch": 9.119594233849439, + "grad_norm": 1.0703125, + "learning_rate": 6.049576968879459e-05, + "loss": 5.4228, + "mean_token_accuracy": 0.19311343878507614, + "num_tokens": 18706585.0, + "step": 8545 + }, + { + "entropy": 6.305493640899658, + "epoch": 9.124933262146289, + "grad_norm": 1.171875, + "learning_rate": 6.0368533247674074e-05, + "loss": 5.4126, + "mean_token_accuracy": 0.19299951195716858, + "num_tokens": 18717745.0, + "step": 8550 + }, + { + "entropy": 6.256345796585083, + "epoch": 9.13027229044314, + "grad_norm": 1.21875, + "learning_rate": 6.0242054546991954e-05, + "loss": 5.3487, + "mean_token_accuracy": 0.20222388803958893, + "num_tokens": 18727875.0, + "step": 8555 + }, + { + "entropy": 6.275346279144287, + "epoch": 9.13561131873999, + "grad_norm": 1.2109375, + "learning_rate": 6.0116334033271826e-05, + "loss": 5.3777, + "mean_token_accuracy": 0.19150869846343993, + "num_tokens": 18738290.0, + "step": 8560 + }, + { + "entropy": 6.28104887008667, + "epoch": 9.140950347036839, + "grad_norm": 1.203125, + "learning_rate": 5.999137215036063e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.19925588071346284, + "num_tokens": 18749462.0, + "step": 8565 + }, + { + "entropy": 6.292618322372436, + "epoch": 9.146289375333689, + "grad_norm": 1.296875, + "learning_rate": 5.9867169339427105e-05, + "loss": 5.3386, + "mean_token_accuracy": 0.19864167869091034, + "num_tokens": 18759999.0, + "step": 8570 + }, + { + "entropy": 6.2744917392730715, + "epoch": 9.15162840363054, + "grad_norm": 1.2109375, + "learning_rate": 5.974372603895989e-05, + "loss": 5.3664, + "mean_token_accuracy": 0.20330148190259933, + "num_tokens": 18771421.0, + "step": 8575 + }, + { + "entropy": 6.231125020980835, + "epoch": 9.15696743192739, + "grad_norm": 1.2734375, + "learning_rate": 5.962104268476648e-05, + "loss": 5.3475, + "mean_token_accuracy": 0.19947514533996583, + "num_tokens": 18781423.0, + "step": 8580 + }, + { + "entropy": 6.301869916915893, + "epoch": 9.162306460224238, + "grad_norm": 1.3984375, + "learning_rate": 5.9499119709971266e-05, + "loss": 5.3937, + "mean_token_accuracy": 0.19459829330444336, + "num_tokens": 18790824.0, + "step": 8585 + }, + { + "entropy": 6.3307005882263185, + "epoch": 9.167645488521089, + "grad_norm": 1.328125, + "learning_rate": 5.937795754501431e-05, + "loss": 5.4154, + "mean_token_accuracy": 0.1953270897269249, + "num_tokens": 18801694.0, + "step": 8590 + }, + { + "entropy": 6.30227746963501, + "epoch": 9.17298451681794, + "grad_norm": 1.4765625, + "learning_rate": 5.9257556617649594e-05, + "loss": 5.3517, + "mean_token_accuracy": 0.1940465450286865, + "num_tokens": 18812180.0, + "step": 8595 + }, + { + "entropy": 6.290414094924927, + "epoch": 9.17832354511479, + "grad_norm": 1.421875, + "learning_rate": 5.913791735294367e-05, + "loss": 5.4369, + "mean_token_accuracy": 0.19648680686950684, + "num_tokens": 18823764.0, + "step": 8600 + }, + { + "entropy": 6.329561948776245, + "epoch": 9.18366257341164, + "grad_norm": 1.2578125, + "learning_rate": 5.901904017327404e-05, + "loss": 5.3981, + "mean_token_accuracy": 0.19430489838123322, + "num_tokens": 18834592.0, + "step": 8605 + }, + { + "entropy": 6.305727863311768, + "epoch": 9.189001601708489, + "grad_norm": 1.296875, + "learning_rate": 5.890092549832776e-05, + "loss": 5.3353, + "mean_token_accuracy": 0.19843092262744905, + "num_tokens": 18844714.0, + "step": 8610 + }, + { + "entropy": 6.302178955078125, + "epoch": 9.194340630005339, + "grad_norm": 1.234375, + "learning_rate": 5.8783573745099895e-05, + "loss": 5.3965, + "mean_token_accuracy": 0.18645181506872177, + "num_tokens": 18856680.0, + "step": 8615 + }, + { + "entropy": 6.312046670913697, + "epoch": 9.19967965830219, + "grad_norm": 1.2734375, + "learning_rate": 5.8666985327892103e-05, + "loss": 5.4183, + "mean_token_accuracy": 0.1923958107829094, + "num_tokens": 18867146.0, + "step": 8620 + }, + { + "entropy": 6.18888897895813, + "epoch": 9.20501868659904, + "grad_norm": 1.3203125, + "learning_rate": 5.855116065831115e-05, + "loss": 5.2823, + "mean_token_accuracy": 0.20159239172935486, + "num_tokens": 18878678.0, + "step": 8625 + }, + { + "entropy": 6.295993375778198, + "epoch": 9.210357714895888, + "grad_norm": 1.2578125, + "learning_rate": 5.8436100145267365e-05, + "loss": 5.3848, + "mean_token_accuracy": 0.19432373344898224, + "num_tokens": 18889431.0, + "step": 8630 + }, + { + "entropy": 6.289379692077636, + "epoch": 9.215696743192739, + "grad_norm": 1.2734375, + "learning_rate": 5.83218041949734e-05, + "loss": 5.3944, + "mean_token_accuracy": 0.19059503376483916, + "num_tokens": 18899860.0, + "step": 8635 + }, + { + "entropy": 6.275321006774902, + "epoch": 9.22103577148959, + "grad_norm": 1.1953125, + "learning_rate": 5.820827321094254e-05, + "loss": 5.3884, + "mean_token_accuracy": 0.18925346434116364, + "num_tokens": 18910589.0, + "step": 8640 + }, + { + "entropy": 6.344746208190918, + "epoch": 9.22637479978644, + "grad_norm": 1.15625, + "learning_rate": 5.8095507593987545e-05, + "loss": 5.4378, + "mean_token_accuracy": 0.19206939339637757, + "num_tokens": 18921145.0, + "step": 8645 + }, + { + "entropy": 6.2736283302307125, + "epoch": 9.231713828083288, + "grad_norm": 1.2890625, + "learning_rate": 5.798350774221899e-05, + "loss": 5.3704, + "mean_token_accuracy": 0.19876059740781785, + "num_tokens": 18932600.0, + "step": 8650 + }, + { + "entropy": 6.267943048477173, + "epoch": 9.237052856380139, + "grad_norm": 1.171875, + "learning_rate": 5.78722740510441e-05, + "loss": 5.3859, + "mean_token_accuracy": 0.1947265863418579, + "num_tokens": 18944712.0, + "step": 8655 + }, + { + "entropy": 6.2824924945831295, + "epoch": 9.242391884676989, + "grad_norm": 1.140625, + "learning_rate": 5.776180691316505e-05, + "loss": 5.405, + "mean_token_accuracy": 0.19813400655984878, + "num_tokens": 18956462.0, + "step": 8660 + }, + { + "entropy": 6.27752366065979, + "epoch": 9.24773091297384, + "grad_norm": 1.34375, + "learning_rate": 5.765210671857795e-05, + "loss": 5.3838, + "mean_token_accuracy": 0.19867743998765947, + "num_tokens": 18967882.0, + "step": 8665 + }, + { + "entropy": 6.274408292770386, + "epoch": 9.253069941270688, + "grad_norm": 1.1796875, + "learning_rate": 5.7543173854571176e-05, + "loss": 5.3646, + "mean_token_accuracy": 0.19525448232889175, + "num_tokens": 18978797.0, + "step": 8670 + }, + { + "entropy": 6.322760105133057, + "epoch": 9.258408969567538, + "grad_norm": 1.125, + "learning_rate": 5.743500870572404e-05, + "loss": 5.3745, + "mean_token_accuracy": 0.1901499330997467, + "num_tokens": 18989506.0, + "step": 8675 + }, + { + "entropy": 6.30593957901001, + "epoch": 9.263747997864389, + "grad_norm": 1.234375, + "learning_rate": 5.732761165390562e-05, + "loss": 5.4193, + "mean_token_accuracy": 0.1921993911266327, + "num_tokens": 19000072.0, + "step": 8680 + }, + { + "entropy": 6.322987842559814, + "epoch": 9.26908702616124, + "grad_norm": 1.1328125, + "learning_rate": 5.7220983078273176e-05, + "loss": 5.4454, + "mean_token_accuracy": 0.2010173797607422, + "num_tokens": 19010656.0, + "step": 8685 + }, + { + "entropy": 6.306516361236572, + "epoch": 9.274426054458088, + "grad_norm": 1.359375, + "learning_rate": 5.7115123355270996e-05, + "loss": 5.3828, + "mean_token_accuracy": 0.19560512900352478, + "num_tokens": 19021811.0, + "step": 8690 + }, + { + "entropy": 6.246599578857422, + "epoch": 9.279765082754938, + "grad_norm": 1.1875, + "learning_rate": 5.701003285862898e-05, + "loss": 5.3498, + "mean_token_accuracy": 0.1951931819319725, + "num_tokens": 19032673.0, + "step": 8695 + }, + { + "entropy": 6.254972982406616, + "epoch": 9.285104111051789, + "grad_norm": 1.2421875, + "learning_rate": 5.690571195936129e-05, + "loss": 5.294, + "mean_token_accuracy": 0.20297341346740722, + "num_tokens": 19043421.0, + "step": 8700 + }, + { + "entropy": 6.254808473587036, + "epoch": 9.290443139348639, + "grad_norm": 1.3046875, + "learning_rate": 5.6802161025765126e-05, + "loss": 5.3124, + "mean_token_accuracy": 0.20978861898183823, + "num_tokens": 19053972.0, + "step": 8705 + }, + { + "entropy": 6.257140016555786, + "epoch": 9.295782167645488, + "grad_norm": 1.125, + "learning_rate": 5.6699380423419315e-05, + "loss": 5.3941, + "mean_token_accuracy": 0.19529064148664474, + "num_tokens": 19064996.0, + "step": 8710 + }, + { + "entropy": 6.293576097488403, + "epoch": 9.301121195942338, + "grad_norm": 1.28125, + "learning_rate": 5.659737051518319e-05, + "loss": 5.405, + "mean_token_accuracy": 0.19285243451595308, + "num_tokens": 19077163.0, + "step": 8715 + }, + { + "entropy": 6.281959867477417, + "epoch": 9.306460224239189, + "grad_norm": 1.3515625, + "learning_rate": 5.649613166119512e-05, + "loss": 5.3772, + "mean_token_accuracy": 0.19006721973419188, + "num_tokens": 19087616.0, + "step": 8720 + }, + { + "entropy": 6.308144426345825, + "epoch": 9.311799252536039, + "grad_norm": 1.0625, + "learning_rate": 5.639566421887136e-05, + "loss": 5.4082, + "mean_token_accuracy": 0.1936774879693985, + "num_tokens": 19100267.0, + "step": 8725 + }, + { + "entropy": 6.217197275161743, + "epoch": 9.31713828083289, + "grad_norm": 1.2890625, + "learning_rate": 5.6295968542904734e-05, + "loss": 5.2625, + "mean_token_accuracy": 0.21082474589347838, + "num_tokens": 19109969.0, + "step": 8730 + }, + { + "entropy": 6.270903539657593, + "epoch": 9.322477309129738, + "grad_norm": 1.09375, + "learning_rate": 5.619704498526345e-05, + "loss": 5.3542, + "mean_token_accuracy": 0.19501845836639403, + "num_tokens": 19121033.0, + "step": 8735 + }, + { + "entropy": 6.305626344680786, + "epoch": 9.327816337426588, + "grad_norm": 1.2578125, + "learning_rate": 5.6098893895189704e-05, + "loss": 5.423, + "mean_token_accuracy": 0.19037313908338546, + "num_tokens": 19131451.0, + "step": 8740 + }, + { + "entropy": 6.2973391056060795, + "epoch": 9.333155365723439, + "grad_norm": 1.28125, + "learning_rate": 5.6001515619198706e-05, + "loss": 5.413, + "mean_token_accuracy": 0.19424313753843309, + "num_tokens": 19142187.0, + "step": 8745 + }, + { + "entropy": 6.3233716011047365, + "epoch": 9.33849439402029, + "grad_norm": 1.3515625, + "learning_rate": 5.590491050107717e-05, + "loss": 5.4345, + "mean_token_accuracy": 0.19144673198461531, + "num_tokens": 19152401.0, + "step": 8750 + }, + { + "entropy": 6.321363544464111, + "epoch": 9.343833422317138, + "grad_norm": 1.140625, + "learning_rate": 5.580907888188229e-05, + "loss": 5.4545, + "mean_token_accuracy": 0.1866098314523697, + "num_tokens": 19164042.0, + "step": 8755 + }, + { + "entropy": 6.327611064910888, + "epoch": 9.349172450613988, + "grad_norm": 1.2890625, + "learning_rate": 5.571402109994049e-05, + "loss": 5.3791, + "mean_token_accuracy": 0.1929052382707596, + "num_tokens": 19174840.0, + "step": 8760 + }, + { + "entropy": 6.285183763504028, + "epoch": 9.354511478910839, + "grad_norm": 1.2421875, + "learning_rate": 5.5619737490846215e-05, + "loss": 5.4256, + "mean_token_accuracy": 0.18573228418827056, + "num_tokens": 19186553.0, + "step": 8765 + }, + { + "entropy": 6.2528282642364506, + "epoch": 9.359850507207689, + "grad_norm": 1.1484375, + "learning_rate": 5.55262283874607e-05, + "loss": 5.3138, + "mean_token_accuracy": 0.19975178986787795, + "num_tokens": 19198010.0, + "step": 8770 + }, + { + "entropy": 6.268246603012085, + "epoch": 9.365189535504538, + "grad_norm": 1.2578125, + "learning_rate": 5.543349411991089e-05, + "loss": 5.3396, + "mean_token_accuracy": 0.20094972252845764, + "num_tokens": 19207891.0, + "step": 8775 + }, + { + "entropy": 6.258787059783936, + "epoch": 9.370528563801388, + "grad_norm": 1.171875, + "learning_rate": 5.534153501558823e-05, + "loss": 5.38, + "mean_token_accuracy": 0.19716913849115372, + "num_tokens": 19219140.0, + "step": 8780 + }, + { + "entropy": 6.302610540390015, + "epoch": 9.375867592098238, + "grad_norm": 1.2578125, + "learning_rate": 5.5250351399147507e-05, + "loss": 5.3564, + "mean_token_accuracy": 0.19000794887542724, + "num_tokens": 19229642.0, + "step": 8785 + }, + { + "entropy": 6.275329351425171, + "epoch": 9.381206620395089, + "grad_norm": 1.0859375, + "learning_rate": 5.515994359250574e-05, + "loss": 5.4133, + "mean_token_accuracy": 0.19166371673345567, + "num_tokens": 19241184.0, + "step": 8790 + }, + { + "entropy": 6.325571823120117, + "epoch": 9.386545648691937, + "grad_norm": 1.234375, + "learning_rate": 5.507031191484087e-05, + "loss": 5.4533, + "mean_token_accuracy": 0.18626566082239152, + "num_tokens": 19252201.0, + "step": 8795 + }, + { + "entropy": 6.32686185836792, + "epoch": 9.391884676988788, + "grad_norm": 1.375, + "learning_rate": 5.4981456682590955e-05, + "loss": 5.4565, + "mean_token_accuracy": 0.18756528198719025, + "num_tokens": 19261683.0, + "step": 8800 + }, + { + "entropy": 6.2155046463012695, + "epoch": 9.397223705285638, + "grad_norm": 1.2421875, + "learning_rate": 5.489337820945279e-05, + "loss": 5.4225, + "mean_token_accuracy": 0.18866721391677857, + "num_tokens": 19273530.0, + "step": 8805 + }, + { + "entropy": 6.303810548782349, + "epoch": 9.402562733582489, + "grad_norm": 1.265625, + "learning_rate": 5.480607680638082e-05, + "loss": 5.3646, + "mean_token_accuracy": 0.19822666496038438, + "num_tokens": 19283543.0, + "step": 8810 + }, + { + "entropy": 6.266515731811523, + "epoch": 9.407901761879337, + "grad_norm": 1.2265625, + "learning_rate": 5.47195527815862e-05, + "loss": 5.359, + "mean_token_accuracy": 0.1917651429772377, + "num_tokens": 19294399.0, + "step": 8815 + }, + { + "entropy": 6.286578798294068, + "epoch": 9.413240790176188, + "grad_norm": 1.1875, + "learning_rate": 5.4633806440535536e-05, + "loss": 5.3914, + "mean_token_accuracy": 0.1982104390859604, + "num_tokens": 19305971.0, + "step": 8820 + }, + { + "entropy": 6.293573045730591, + "epoch": 9.418579818473038, + "grad_norm": 1.34375, + "learning_rate": 5.454883808594996e-05, + "loss": 5.3873, + "mean_token_accuracy": 0.19418561160564424, + "num_tokens": 19315983.0, + "step": 8825 + }, + { + "entropy": 6.191365814208984, + "epoch": 9.423918846769888, + "grad_norm": 1.2421875, + "learning_rate": 5.446464801780392e-05, + "loss": 5.2988, + "mean_token_accuracy": 0.20409801602363586, + "num_tokens": 19326967.0, + "step": 8830 + }, + { + "entropy": 6.2814757347106935, + "epoch": 9.429257875066737, + "grad_norm": 1.109375, + "learning_rate": 5.438123653332416e-05, + "loss": 5.3361, + "mean_token_accuracy": 0.19910025894641875, + "num_tokens": 19338188.0, + "step": 8835 + }, + { + "entropy": 6.30628547668457, + "epoch": 9.434596903363587, + "grad_norm": 1.2734375, + "learning_rate": 5.42986039269887e-05, + "loss": 5.4314, + "mean_token_accuracy": 0.19197482466697693, + "num_tokens": 19348319.0, + "step": 8840 + }, + { + "entropy": 6.286158275604248, + "epoch": 9.439935931660438, + "grad_norm": 1.1953125, + "learning_rate": 5.4216750490525896e-05, + "loss": 5.3494, + "mean_token_accuracy": 0.1952256977558136, + "num_tokens": 19358764.0, + "step": 8845 + }, + { + "entropy": 6.287650728225708, + "epoch": 9.445274959957288, + "grad_norm": 1.234375, + "learning_rate": 5.413567651291315e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.1935838997364044, + "num_tokens": 19369380.0, + "step": 8850 + }, + { + "entropy": 6.200163459777832, + "epoch": 9.450613988254137, + "grad_norm": 1.015625, + "learning_rate": 5.4055382280376195e-05, + "loss": 5.2627, + "mean_token_accuracy": 0.20308074206113816, + "num_tokens": 19381819.0, + "step": 8855 + }, + { + "entropy": 6.321351432800293, + "epoch": 9.455953016550987, + "grad_norm": 1.328125, + "learning_rate": 5.397586807638774e-05, + "loss": 5.4202, + "mean_token_accuracy": 0.19185348302125932, + "num_tokens": 19391969.0, + "step": 8860 + }, + { + "entropy": 6.30733060836792, + "epoch": 9.461292044847838, + "grad_norm": 1.2421875, + "learning_rate": 5.3897134181666886e-05, + "loss": 5.3968, + "mean_token_accuracy": 0.2015586495399475, + "num_tokens": 19402866.0, + "step": 8865 + }, + { + "entropy": 6.307026195526123, + "epoch": 9.466631073144688, + "grad_norm": 1.296875, + "learning_rate": 5.3819180874177704e-05, + "loss": 5.3862, + "mean_token_accuracy": 0.19666852056980133, + "num_tokens": 19412929.0, + "step": 8870 + }, + { + "entropy": 6.26625394821167, + "epoch": 9.471970101441539, + "grad_norm": 1.203125, + "learning_rate": 5.374200842912858e-05, + "loss": 5.4024, + "mean_token_accuracy": 0.1985020011663437, + "num_tokens": 19424594.0, + "step": 8875 + }, + { + "entropy": 6.25069670677185, + "epoch": 9.477309129738387, + "grad_norm": 1.2265625, + "learning_rate": 5.3665617118971134e-05, + "loss": 5.4028, + "mean_token_accuracy": 0.19581619799137115, + "num_tokens": 19435893.0, + "step": 8880 + }, + { + "entropy": 6.308282089233399, + "epoch": 9.482648158035238, + "grad_norm": 1.1015625, + "learning_rate": 5.359000721339914e-05, + "loss": 5.3733, + "mean_token_accuracy": 0.1967584028840065, + "num_tokens": 19447414.0, + "step": 8885 + }, + { + "entropy": 6.254154205322266, + "epoch": 9.487987186332088, + "grad_norm": 1.0703125, + "learning_rate": 5.3515178979347814e-05, + "loss": 5.401, + "mean_token_accuracy": 0.196736142039299, + "num_tokens": 19458829.0, + "step": 8890 + }, + { + "entropy": 6.310901260375976, + "epoch": 9.493326214628938, + "grad_norm": 1.046875, + "learning_rate": 5.3441132680992656e-05, + "loss": 5.4267, + "mean_token_accuracy": 0.1950685203075409, + "num_tokens": 19471630.0, + "step": 8895 + }, + { + "entropy": 6.291153192520142, + "epoch": 9.498665242925787, + "grad_norm": 1.2890625, + "learning_rate": 5.3367868579748584e-05, + "loss": 5.398, + "mean_token_accuracy": 0.1950012594461441, + "num_tokens": 19481740.0, + "step": 8900 + }, + { + "entropy": 6.238599157333374, + "epoch": 9.504004271222637, + "grad_norm": 1.203125, + "learning_rate": 5.329538693426908e-05, + "loss": 5.2768, + "mean_token_accuracy": 0.20877552032470703, + "num_tokens": 19492165.0, + "step": 8905 + }, + { + "entropy": 6.301410770416259, + "epoch": 9.509343299519488, + "grad_norm": 1.296875, + "learning_rate": 5.32236880004452e-05, + "loss": 5.3947, + "mean_token_accuracy": 0.19929478764533998, + "num_tokens": 19502303.0, + "step": 8910 + }, + { + "entropy": 6.261133909225464, + "epoch": 9.514682327816338, + "grad_norm": 1.2109375, + "learning_rate": 5.315277203140473e-05, + "loss": 5.3188, + "mean_token_accuracy": 0.2059570699930191, + "num_tokens": 19513124.0, + "step": 8915 + }, + { + "entropy": 6.27139687538147, + "epoch": 9.520021356113187, + "grad_norm": 1.28125, + "learning_rate": 5.308263927751119e-05, + "loss": 5.3821, + "mean_token_accuracy": 0.19859732836484909, + "num_tokens": 19523896.0, + "step": 8920 + }, + { + "entropy": 6.256344938278199, + "epoch": 9.525360384410037, + "grad_norm": 1.1171875, + "learning_rate": 5.3013289986363083e-05, + "loss": 5.3545, + "mean_token_accuracy": 0.19902739077806472, + "num_tokens": 19535121.0, + "step": 8925 + }, + { + "entropy": 6.313183736801148, + "epoch": 9.530699412706888, + "grad_norm": 1.140625, + "learning_rate": 5.294472440279293e-05, + "loss": 5.439, + "mean_token_accuracy": 0.19161880016326904, + "num_tokens": 19546711.0, + "step": 8930 + }, + { + "entropy": 6.276342391967773, + "epoch": 9.536038441003738, + "grad_norm": 1.3125, + "learning_rate": 5.2876942768866385e-05, + "loss": 5.4662, + "mean_token_accuracy": 0.19173189252614975, + "num_tokens": 19558628.0, + "step": 8935 + }, + { + "entropy": 6.283579540252686, + "epoch": 9.541377469300587, + "grad_norm": 1.2109375, + "learning_rate": 5.280994532388149e-05, + "loss": 5.3781, + "mean_token_accuracy": 0.19563505798578262, + "num_tokens": 19569152.0, + "step": 8940 + }, + { + "entropy": 6.342125988006591, + "epoch": 9.546716497597437, + "grad_norm": 1.2890625, + "learning_rate": 5.274373230436775e-05, + "loss": 5.4075, + "mean_token_accuracy": 0.19539266228675842, + "num_tokens": 19579824.0, + "step": 8945 + }, + { + "entropy": 6.3311162948608395, + "epoch": 9.552055525894287, + "grad_norm": 1.1640625, + "learning_rate": 5.267830394408531e-05, + "loss": 5.44, + "mean_token_accuracy": 0.18797385543584824, + "num_tokens": 19590315.0, + "step": 8950 + }, + { + "entropy": 6.299485445022583, + "epoch": 9.557394554191138, + "grad_norm": 1.125, + "learning_rate": 5.261366047402413e-05, + "loss": 5.3556, + "mean_token_accuracy": 0.20104770362377167, + "num_tokens": 19601561.0, + "step": 8955 + }, + { + "entropy": 6.261062526702881, + "epoch": 9.562733582487986, + "grad_norm": 1.2421875, + "learning_rate": 5.2549802122403195e-05, + "loss": 5.4347, + "mean_token_accuracy": 0.19275831133127214, + "num_tokens": 19613662.0, + "step": 8960 + }, + { + "entropy": 6.329975318908692, + "epoch": 9.568072610784837, + "grad_norm": 1.1328125, + "learning_rate": 5.248672911466959e-05, + "loss": 5.426, + "mean_token_accuracy": 0.19204928278923034, + "num_tokens": 19625525.0, + "step": 8965 + }, + { + "entropy": 6.266425085067749, + "epoch": 9.573411639081687, + "grad_norm": 1.25, + "learning_rate": 5.2424441673498e-05, + "loss": 5.409, + "mean_token_accuracy": 0.19519365727901458, + "num_tokens": 19636505.0, + "step": 8970 + }, + { + "entropy": 6.287335205078125, + "epoch": 9.578750667378538, + "grad_norm": 1.2109375, + "learning_rate": 5.23629400187895e-05, + "loss": 5.3879, + "mean_token_accuracy": 0.1991070419549942, + "num_tokens": 19647314.0, + "step": 8975 + }, + { + "entropy": 6.318078947067261, + "epoch": 9.584089695675386, + "grad_norm": 1.1640625, + "learning_rate": 5.2302224367671166e-05, + "loss": 5.3994, + "mean_token_accuracy": 0.19404184222221374, + "num_tokens": 19658052.0, + "step": 8980 + }, + { + "entropy": 6.295307159423828, + "epoch": 9.589428723972237, + "grad_norm": 1.234375, + "learning_rate": 5.224229493449505e-05, + "loss": 5.3536, + "mean_token_accuracy": 0.20603204965591432, + "num_tokens": 19668589.0, + "step": 8985 + }, + { + "entropy": 6.251272344589234, + "epoch": 9.594767752269087, + "grad_norm": 1.328125, + "learning_rate": 5.2183151930837626e-05, + "loss": 5.4086, + "mean_token_accuracy": 0.19251115918159484, + "num_tokens": 19679759.0, + "step": 8990 + }, + { + "entropy": 6.297881317138672, + "epoch": 9.600106780565937, + "grad_norm": 1.203125, + "learning_rate": 5.212479556549883e-05, + "loss": 5.388, + "mean_token_accuracy": 0.1927838757634163, + "num_tokens": 19690785.0, + "step": 8995 + }, + { + "entropy": 6.299252557754516, + "epoch": 9.605445808862786, + "grad_norm": 1.1953125, + "learning_rate": 5.206722604450148e-05, + "loss": 5.3709, + "mean_token_accuracy": 0.19994686990976335, + "num_tokens": 19702394.0, + "step": 9000 + }, + { + "epoch": 9.605445808862786, + "eval_entropy": 6.120275040415974, + "eval_loss": 6.550008296966553, + "eval_mean_token_accuracy": 0.13517576714421248, + "eval_num_tokens": 19702394.0, + "eval_runtime": 1.8103, + "eval_samples_per_second": 1701.367, + "eval_steps_per_second": 212.671, + "step": 9000 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4281202243399680.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9000/training_args.bin b/checkpoint-9000/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-9000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/checkpoint-9360/added_tokens.json b/checkpoint-9360/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9360/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-9360/config.json b/checkpoint-9360/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9360/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-9360/generation_config.json b/checkpoint-9360/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9360/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9360/model.safetensors b/checkpoint-9360/model.safetensors new file mode 100644 index 0000000..4ca862b --- /dev/null +++ b/checkpoint-9360/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8a1bbf967ffb2a981995ad08c2d64b6f7ad56c729cc9bd7e8ad7f371c09f6e4 +size 78179408 diff --git a/checkpoint-9360/rng_state.pth b/checkpoint-9360/rng_state.pth new file mode 100644 index 0000000..dadd73b --- /dev/null +++ b/checkpoint-9360/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:980c3ddbe4ced95a5cc1712426517830e64746820ecdfdca0cb938b43b1d8f41 +size 14645 diff --git a/checkpoint-9360/special_tokens_map.json b/checkpoint-9360/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9360/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9360/spiece.model b/checkpoint-9360/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/checkpoint-9360/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/checkpoint-9360/tokenizer_config.json b/checkpoint-9360/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9360/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9360/trainer_state.json b/checkpoint-9360/trainer_state.json new file mode 100644 index 0000000..a6cca6c --- /dev/null +++ b/checkpoint-9360/trainer_state.json @@ -0,0 +1,18952 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.989855846235985, + "eval_steps": 500, + "global_step": 9360, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.68021821975708, + "epoch": 0.005339028296849973, + "grad_norm": 31.625, + "learning_rate": 2e-06, + "loss": 13.9711, + "mean_token_accuracy": 0.009074668399989605, + "num_tokens": 10658.0, + "step": 5 + }, + { + "entropy": 4.704092264175415, + "epoch": 0.010678056593699947, + "grad_norm": 32.75, + "learning_rate": 4.5e-06, + "loss": 13.9298, + "mean_token_accuracy": 0.00866024480201304, + "num_tokens": 21327.0, + "step": 10 + }, + { + "entropy": 4.7672216415405275, + "epoch": 0.01601708489054992, + "grad_norm": 36.5, + "learning_rate": 7e-06, + "loss": 13.7823, + "mean_token_accuracy": 0.007704685814678669, + "num_tokens": 32403.0, + "step": 15 + }, + { + "entropy": 4.958004379272461, + "epoch": 0.021356113187399894, + "grad_norm": 40.5, + "learning_rate": 9.5e-06, + "loss": 13.3459, + "mean_token_accuracy": 0.006649625021964312, + "num_tokens": 43471.0, + "step": 20 + }, + { + "entropy": 5.477138376235962, + "epoch": 0.026695141484249868, + "grad_norm": 38.75, + "learning_rate": 1.2e-05, + "loss": 12.4632, + "mean_token_accuracy": 0.0020860590098891406, + "num_tokens": 53724.0, + "step": 25 + }, + { + "entropy": 6.8245813846588135, + "epoch": 0.03203416978109984, + "grad_norm": 30.375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.6429, + "mean_token_accuracy": 0.0007934643130283803, + "num_tokens": 65115.0, + "step": 30 + }, + { + "entropy": 10.22093849182129, + "epoch": 0.03737319807794982, + "grad_norm": 5.46875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8521, + "mean_token_accuracy": 0.0002344618726056069, + "num_tokens": 75902.0, + "step": 35 + }, + { + "entropy": 10.684853076934814, + "epoch": 0.04271222637479979, + "grad_norm": 4.0625, + "learning_rate": 1.95e-05, + "loss": 10.7564, + "mean_token_accuracy": 0.0011873395298607648, + "num_tokens": 87051.0, + "step": 40 + }, + { + "entropy": 10.69392204284668, + "epoch": 0.04805125467164976, + "grad_norm": 2.84375, + "learning_rate": 2.2e-05, + "loss": 10.5885, + "mean_token_accuracy": 0.006381610780954361, + "num_tokens": 98998.0, + "step": 45 + }, + { + "entropy": 10.600316715240478, + "epoch": 0.053390282968499736, + "grad_norm": 2.34375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.4445, + "mean_token_accuracy": 0.011505381856113672, + "num_tokens": 111207.0, + "step": 50 + }, + { + "entropy": 10.673304462432862, + "epoch": 0.05872931126534971, + "grad_norm": 2.0625, + "learning_rate": 2.7e-05, + "loss": 10.2638, + "mean_token_accuracy": 0.016619019117206334, + "num_tokens": 121039.0, + "step": 55 + }, + { + "entropy": 10.670036125183106, + "epoch": 0.06406833956219968, + "grad_norm": 2.03125, + "learning_rate": 2.95e-05, + "loss": 10.1533, + "mean_token_accuracy": 0.015064884908497334, + "num_tokens": 132604.0, + "step": 60 + }, + { + "entropy": 10.671291160583497, + "epoch": 0.06940736785904965, + "grad_norm": 1.7734375, + "learning_rate": 3.2e-05, + "loss": 10.0181, + "mean_token_accuracy": 0.03150726184248924, + "num_tokens": 142825.0, + "step": 65 + }, + { + "entropy": 10.688156223297119, + "epoch": 0.07474639615589963, + "grad_norm": 1.78125, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.9346, + "mean_token_accuracy": 0.056240572780370715, + "num_tokens": 153121.0, + "step": 70 + }, + { + "entropy": 10.670577144622802, + "epoch": 0.0800854244527496, + "grad_norm": 1.7421875, + "learning_rate": 3.7e-05, + "loss": 9.8809, + "mean_token_accuracy": 0.05582823716104031, + "num_tokens": 164675.0, + "step": 75 + }, + { + "entropy": 10.664248943328857, + "epoch": 0.08542445274959957, + "grad_norm": 1.5703125, + "learning_rate": 3.95e-05, + "loss": 9.8352, + "mean_token_accuracy": 0.04962811656296253, + "num_tokens": 175146.0, + "step": 80 + }, + { + "entropy": 10.648977661132813, + "epoch": 0.09076348104644955, + "grad_norm": 1.4765625, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.8124, + "mean_token_accuracy": 0.04548483826220036, + "num_tokens": 186177.0, + "step": 85 + }, + { + "entropy": 10.642164325714111, + "epoch": 0.09610250934329952, + "grad_norm": 1.6640625, + "learning_rate": 4.45e-05, + "loss": 9.685, + "mean_token_accuracy": 0.048678891733288765, + "num_tokens": 197143.0, + "step": 90 + }, + { + "entropy": 10.636518096923828, + "epoch": 0.10144153764014949, + "grad_norm": 1.625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.6182, + "mean_token_accuracy": 0.052110004052519796, + "num_tokens": 207979.0, + "step": 95 + }, + { + "entropy": 10.610146522521973, + "epoch": 0.10678056593699947, + "grad_norm": 1.640625, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.5135, + "mean_token_accuracy": 0.0568073820322752, + "num_tokens": 218733.0, + "step": 100 + }, + { + "entropy": 10.569573020935058, + "epoch": 0.11211959423384944, + "grad_norm": 1.625, + "learning_rate": 5.2e-05, + "loss": 9.4144, + "mean_token_accuracy": 0.05693732798099518, + "num_tokens": 228887.0, + "step": 105 + }, + { + "entropy": 10.517056083679199, + "epoch": 0.11745862253069941, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.3275, + "mean_token_accuracy": 0.05374570451676845, + "num_tokens": 240289.0, + "step": 110 + }, + { + "entropy": 10.480204105377197, + "epoch": 0.12279765082754938, + "grad_norm": 1.4609375, + "learning_rate": 5.7e-05, + "loss": 9.2538, + "mean_token_accuracy": 0.05631314069032669, + "num_tokens": 250548.0, + "step": 115 + }, + { + "entropy": 10.422281837463379, + "epoch": 0.12813667912439936, + "grad_norm": 1.4765625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.1616, + "mean_token_accuracy": 0.05645494796335697, + "num_tokens": 261669.0, + "step": 120 + }, + { + "entropy": 10.368197917938232, + "epoch": 0.13347570742124934, + "grad_norm": 1.359375, + "learning_rate": 6.2e-05, + "loss": 9.0945, + "mean_token_accuracy": 0.05810702405869961, + "num_tokens": 272926.0, + "step": 125 + }, + { + "entropy": 10.291021633148194, + "epoch": 0.1388147357180993, + "grad_norm": 1.2734375, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0261, + "mean_token_accuracy": 0.05110162906348705, + "num_tokens": 284173.0, + "step": 130 + }, + { + "entropy": 10.235691547393799, + "epoch": 0.14415376401494928, + "grad_norm": 1.1953125, + "learning_rate": 6.7e-05, + "loss": 8.9153, + "mean_token_accuracy": 0.05686397515237331, + "num_tokens": 294850.0, + "step": 135 + }, + { + "entropy": 10.190592193603516, + "epoch": 0.14949279231179927, + "grad_norm": 1.203125, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8582, + "mean_token_accuracy": 0.05346960201859474, + "num_tokens": 305727.0, + "step": 140 + }, + { + "entropy": 10.10048542022705, + "epoch": 0.15483182060864922, + "grad_norm": 1.3125, + "learning_rate": 7.2e-05, + "loss": 8.7462, + "mean_token_accuracy": 0.058417992666363716, + "num_tokens": 317243.0, + "step": 145 + }, + { + "entropy": 9.970914077758788, + "epoch": 0.1601708489054992, + "grad_norm": 1.015625, + "learning_rate": 7.45e-05, + "loss": 8.7387, + "mean_token_accuracy": 0.05338601246476173, + "num_tokens": 328334.0, + "step": 150 + }, + { + "entropy": 9.846445274353027, + "epoch": 0.16550987720234916, + "grad_norm": 0.96484375, + "learning_rate": 7.7e-05, + "loss": 8.6482, + "mean_token_accuracy": 0.054720787703990935, + "num_tokens": 339774.0, + "step": 155 + }, + { + "entropy": 9.73973569869995, + "epoch": 0.17084890549919915, + "grad_norm": 0.96875, + "learning_rate": 7.950000000000001e-05, + "loss": 8.5543, + "mean_token_accuracy": 0.05573372282087803, + "num_tokens": 350211.0, + "step": 160 + }, + { + "entropy": 9.550614070892333, + "epoch": 0.1761879337960491, + "grad_norm": 0.78125, + "learning_rate": 8.2e-05, + "loss": 8.4684, + "mean_token_accuracy": 0.054642071947455406, + "num_tokens": 360109.0, + "step": 165 + }, + { + "entropy": 9.380690956115723, + "epoch": 0.1815269620928991, + "grad_norm": 0.8359375, + "learning_rate": 8.450000000000001e-05, + "loss": 8.4131, + "mean_token_accuracy": 0.054827965795993805, + "num_tokens": 370911.0, + "step": 170 + }, + { + "entropy": 9.282039070129395, + "epoch": 0.18686599038974908, + "grad_norm": 0.76953125, + "learning_rate": 8.7e-05, + "loss": 8.3991, + "mean_token_accuracy": 0.060196897760033605, + "num_tokens": 381808.0, + "step": 175 + }, + { + "entropy": 9.13407211303711, + "epoch": 0.19220501868659903, + "grad_norm": 0.86328125, + "learning_rate": 8.95e-05, + "loss": 8.3091, + "mean_token_accuracy": 0.06106638610363006, + "num_tokens": 392175.0, + "step": 180 + }, + { + "entropy": 9.000042152404784, + "epoch": 0.19754404698344902, + "grad_norm": 0.78125, + "learning_rate": 9.2e-05, + "loss": 8.3874, + "mean_token_accuracy": 0.049684269726276396, + "num_tokens": 403261.0, + "step": 185 + }, + { + "entropy": 8.931573295593262, + "epoch": 0.20288307528029897, + "grad_norm": 0.7265625, + "learning_rate": 9.45e-05, + "loss": 8.2853, + "mean_token_accuracy": 0.05462104417383671, + "num_tokens": 414992.0, + "step": 190 + }, + { + "entropy": 8.791546726226807, + "epoch": 0.20822210357714896, + "grad_norm": 0.6328125, + "learning_rate": 9.7e-05, + "loss": 8.2732, + "mean_token_accuracy": 0.05595530979335308, + "num_tokens": 425316.0, + "step": 195 + }, + { + "entropy": 8.729821968078614, + "epoch": 0.21356113187399894, + "grad_norm": 0.75, + "learning_rate": 9.95e-05, + "loss": 8.344, + "mean_token_accuracy": 0.05437092892825603, + "num_tokens": 437759.0, + "step": 200 + }, + { + "entropy": 8.712938117980958, + "epoch": 0.2189001601708489, + "grad_norm": 0.77734375, + "learning_rate": 0.000102, + "loss": 8.2844, + "mean_token_accuracy": 0.05534115061163902, + "num_tokens": 448066.0, + "step": 205 + }, + { + "entropy": 8.651909160614014, + "epoch": 0.22423918846769889, + "grad_norm": 1.109375, + "learning_rate": 0.00010449999999999999, + "loss": 8.2206, + "mean_token_accuracy": 0.055615832656621934, + "num_tokens": 458632.0, + "step": 210 + }, + { + "entropy": 8.63439655303955, + "epoch": 0.22957821676454884, + "grad_norm": 0.76171875, + "learning_rate": 0.000107, + "loss": 8.2606, + "mean_token_accuracy": 0.054173830151557925, + "num_tokens": 469224.0, + "step": 215 + }, + { + "entropy": 8.596088218688966, + "epoch": 0.23491724506139883, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 8.2823, + "mean_token_accuracy": 0.05661116987466812, + "num_tokens": 480492.0, + "step": 220 + }, + { + "entropy": 8.625334930419921, + "epoch": 0.2402562733582488, + "grad_norm": 0.921875, + "learning_rate": 0.000112, + "loss": 8.2398, + "mean_token_accuracy": 0.057639367505908014, + "num_tokens": 491325.0, + "step": 225 + }, + { + "entropy": 8.569988918304443, + "epoch": 0.24559530165509877, + "grad_norm": 0.90234375, + "learning_rate": 0.0001145, + "loss": 8.2465, + "mean_token_accuracy": 0.0603976845741272, + "num_tokens": 502240.0, + "step": 230 + }, + { + "entropy": 8.592293834686279, + "epoch": 0.25093432995194875, + "grad_norm": 0.84375, + "learning_rate": 0.00011700000000000001, + "loss": 8.2035, + "mean_token_accuracy": 0.06263627484440804, + "num_tokens": 512710.0, + "step": 235 + }, + { + "entropy": 8.58193883895874, + "epoch": 0.2562733582487987, + "grad_norm": 0.71484375, + "learning_rate": 0.00011949999999999999, + "loss": 8.2513, + "mean_token_accuracy": 0.05789706408977509, + "num_tokens": 524023.0, + "step": 240 + }, + { + "entropy": 8.547989177703858, + "epoch": 0.26161238654564867, + "grad_norm": 3.234375, + "learning_rate": 0.000122, + "loss": 8.1422, + "mean_token_accuracy": 0.06462252773344516, + "num_tokens": 534612.0, + "step": 245 + }, + { + "entropy": 8.475037765502929, + "epoch": 0.2669514148424987, + "grad_norm": 0.68359375, + "learning_rate": 0.0001245, + "loss": 8.2036, + "mean_token_accuracy": 0.05881951674818993, + "num_tokens": 544866.0, + "step": 250 + }, + { + "entropy": 8.527704906463622, + "epoch": 0.27229044313934864, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 8.2523, + "mean_token_accuracy": 0.055548783764243125, + "num_tokens": 556091.0, + "step": 255 + }, + { + "entropy": 8.524747467041015, + "epoch": 0.2776294714361986, + "grad_norm": 0.95703125, + "learning_rate": 0.0001295, + "loss": 8.2536, + "mean_token_accuracy": 0.05479630120098591, + "num_tokens": 566946.0, + "step": 260 + }, + { + "entropy": 8.54754581451416, + "epoch": 0.2829684997330486, + "grad_norm": 0.94140625, + "learning_rate": 0.000132, + "loss": 8.1371, + "mean_token_accuracy": 0.060486416518688205, + "num_tokens": 577164.0, + "step": 265 + }, + { + "entropy": 8.525337314605713, + "epoch": 0.28830752802989856, + "grad_norm": 0.671875, + "learning_rate": 0.00013450000000000002, + "loss": 8.1768, + "mean_token_accuracy": 0.05711319632828236, + "num_tokens": 588744.0, + "step": 270 + }, + { + "entropy": 8.505339241027832, + "epoch": 0.2936465563267485, + "grad_norm": 0.921875, + "learning_rate": 0.00013700000000000002, + "loss": 8.1727, + "mean_token_accuracy": 0.055232659354805945, + "num_tokens": 600943.0, + "step": 275 + }, + { + "entropy": 8.492932891845703, + "epoch": 0.29898558462359853, + "grad_norm": 0.74609375, + "learning_rate": 0.0001395, + "loss": 8.1726, + "mean_token_accuracy": 0.06307518370449543, + "num_tokens": 611864.0, + "step": 280 + }, + { + "entropy": 8.451044940948487, + "epoch": 0.3043246129204485, + "grad_norm": 0.75, + "learning_rate": 0.00014199999999999998, + "loss": 8.152, + "mean_token_accuracy": 0.05931071788072586, + "num_tokens": 623314.0, + "step": 285 + }, + { + "entropy": 8.428306388854981, + "epoch": 0.30966364121729845, + "grad_norm": 0.69921875, + "learning_rate": 0.0001445, + "loss": 8.1763, + "mean_token_accuracy": 0.06025952883064747, + "num_tokens": 633509.0, + "step": 290 + }, + { + "entropy": 8.451824760437011, + "epoch": 0.3150026695141484, + "grad_norm": 0.83984375, + "learning_rate": 0.000147, + "loss": 8.0983, + "mean_token_accuracy": 0.06582859642803669, + "num_tokens": 644655.0, + "step": 295 + }, + { + "entropy": 8.374590492248535, + "epoch": 0.3203416978109984, + "grad_norm": 1.1953125, + "learning_rate": 0.0001495, + "loss": 8.135, + "mean_token_accuracy": 0.05644083172082901, + "num_tokens": 655940.0, + "step": 300 + }, + { + "entropy": 8.408124351501465, + "epoch": 0.3256807261078484, + "grad_norm": 0.765625, + "learning_rate": 0.000152, + "loss": 8.1809, + "mean_token_accuracy": 0.056555739417672155, + "num_tokens": 667074.0, + "step": 305 + }, + { + "entropy": 8.498903751373291, + "epoch": 0.33101975440469833, + "grad_norm": 0.703125, + "learning_rate": 0.00015450000000000001, + "loss": 8.2309, + "mean_token_accuracy": 0.06025502309203148, + "num_tokens": 677942.0, + "step": 310 + }, + { + "entropy": 8.455632591247559, + "epoch": 0.33635878270154834, + "grad_norm": 0.99609375, + "learning_rate": 0.000157, + "loss": 8.1642, + "mean_token_accuracy": 0.06168182455003261, + "num_tokens": 689226.0, + "step": 315 + }, + { + "entropy": 8.403513431549072, + "epoch": 0.3416978109983983, + "grad_norm": 0.76171875, + "learning_rate": 0.0001595, + "loss": 8.1786, + "mean_token_accuracy": 0.059801208600401876, + "num_tokens": 700830.0, + "step": 320 + }, + { + "entropy": 8.456379795074463, + "epoch": 0.34703683929524826, + "grad_norm": 0.95703125, + "learning_rate": 0.000162, + "loss": 8.1377, + "mean_token_accuracy": 0.06001129299402237, + "num_tokens": 712677.0, + "step": 325 + }, + { + "entropy": 8.363616943359375, + "epoch": 0.3523758675920982, + "grad_norm": 0.96484375, + "learning_rate": 0.00016450000000000001, + "loss": 8.2395, + "mean_token_accuracy": 0.05579938478767872, + "num_tokens": 723833.0, + "step": 330 + }, + { + "entropy": 8.497436428070069, + "epoch": 0.3577148958889482, + "grad_norm": 0.828125, + "learning_rate": 0.00016700000000000002, + "loss": 8.1771, + "mean_token_accuracy": 0.059333324804902075, + "num_tokens": 735526.0, + "step": 335 + }, + { + "entropy": 8.438710403442382, + "epoch": 0.3630539241857982, + "grad_norm": 0.69140625, + "learning_rate": 0.00016950000000000003, + "loss": 8.1223, + "mean_token_accuracy": 0.06136825978755951, + "num_tokens": 745934.0, + "step": 340 + }, + { + "entropy": 8.391829586029052, + "epoch": 0.36839295248264814, + "grad_norm": 0.7421875, + "learning_rate": 0.00017199999999999998, + "loss": 8.0837, + "mean_token_accuracy": 0.06251248680055141, + "num_tokens": 756693.0, + "step": 345 + }, + { + "entropy": 8.393558979034424, + "epoch": 0.37373198077949815, + "grad_norm": 0.74609375, + "learning_rate": 0.00017449999999999999, + "loss": 8.1418, + "mean_token_accuracy": 0.05746800377964974, + "num_tokens": 767236.0, + "step": 350 + }, + { + "entropy": 8.491841030120849, + "epoch": 0.3790710090763481, + "grad_norm": 1.3046875, + "learning_rate": 0.000177, + "loss": 8.1254, + "mean_token_accuracy": 0.06065751984715462, + "num_tokens": 778552.0, + "step": 355 + }, + { + "entropy": 8.428674793243408, + "epoch": 0.38441003737319807, + "grad_norm": 0.79296875, + "learning_rate": 0.0001795, + "loss": 8.1788, + "mean_token_accuracy": 0.05917464569211006, + "num_tokens": 789615.0, + "step": 360 + }, + { + "entropy": 8.48459882736206, + "epoch": 0.3897490656700481, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 8.1355, + "mean_token_accuracy": 0.06367055512964725, + "num_tokens": 799998.0, + "step": 365 + }, + { + "entropy": 8.322556686401366, + "epoch": 0.39508809396689804, + "grad_norm": 1.359375, + "learning_rate": 0.0001845, + "loss": 8.0679, + "mean_token_accuracy": 0.062298642471432686, + "num_tokens": 810042.0, + "step": 370 + }, + { + "entropy": 8.422898483276366, + "epoch": 0.400427122263748, + "grad_norm": 0.8515625, + "learning_rate": 0.000187, + "loss": 8.0755, + "mean_token_accuracy": 0.05906784273684025, + "num_tokens": 821692.0, + "step": 375 + }, + { + "entropy": 8.36357364654541, + "epoch": 0.40576615056059795, + "grad_norm": 1.1484375, + "learning_rate": 0.0001895, + "loss": 8.1164, + "mean_token_accuracy": 0.06748287416994572, + "num_tokens": 832262.0, + "step": 380 + }, + { + "entropy": 8.333745193481445, + "epoch": 0.41110517885744796, + "grad_norm": 0.8125, + "learning_rate": 0.000192, + "loss": 8.04, + "mean_token_accuracy": 0.06151870898902416, + "num_tokens": 843006.0, + "step": 385 + }, + { + "entropy": 8.353145503997803, + "epoch": 0.4164442071542979, + "grad_norm": 0.9921875, + "learning_rate": 0.0001945, + "loss": 8.0332, + "mean_token_accuracy": 0.062286530062556265, + "num_tokens": 853978.0, + "step": 390 + }, + { + "entropy": 8.357436656951904, + "epoch": 0.4217832354511479, + "grad_norm": 1.015625, + "learning_rate": 0.00019700000000000002, + "loss": 8.0743, + "mean_token_accuracy": 0.05977092795073986, + "num_tokens": 864634.0, + "step": 395 + }, + { + "entropy": 8.423241233825683, + "epoch": 0.4271222637479979, + "grad_norm": 0.87109375, + "learning_rate": 0.00019950000000000002, + "loss": 8.0568, + "mean_token_accuracy": 0.06662314645946026, + "num_tokens": 875379.0, + "step": 400 + }, + { + "entropy": 8.398690319061279, + "epoch": 0.43246129204484784, + "grad_norm": 0.9453125, + "learning_rate": 0.000202, + "loss": 8.0674, + "mean_token_accuracy": 0.06020735241472721, + "num_tokens": 886428.0, + "step": 405 + }, + { + "entropy": 8.425256729125977, + "epoch": 0.4378003203416978, + "grad_norm": 0.8515625, + "learning_rate": 0.00020449999999999998, + "loss": 8.0827, + "mean_token_accuracy": 0.0645828690379858, + "num_tokens": 896700.0, + "step": 410 + }, + { + "entropy": 8.369815444946289, + "epoch": 0.44313934863854776, + "grad_norm": 0.8125, + "learning_rate": 0.000207, + "loss": 8.0577, + "mean_token_accuracy": 0.06499057859182358, + "num_tokens": 907478.0, + "step": 415 + }, + { + "entropy": 8.39303207397461, + "epoch": 0.44847837693539777, + "grad_norm": 1.5234375, + "learning_rate": 0.0002095, + "loss": 7.9707, + "mean_token_accuracy": 0.07010989226400852, + "num_tokens": 918170.0, + "step": 420 + }, + { + "entropy": 8.28305778503418, + "epoch": 0.45381740523224773, + "grad_norm": 0.81640625, + "learning_rate": 0.000212, + "loss": 8.0345, + "mean_token_accuracy": 0.06685064136981964, + "num_tokens": 928866.0, + "step": 425 + }, + { + "entropy": 8.279892349243164, + "epoch": 0.4591564335290977, + "grad_norm": 0.80859375, + "learning_rate": 0.0002145, + "loss": 8.0205, + "mean_token_accuracy": 0.06419647410511971, + "num_tokens": 940395.0, + "step": 430 + }, + { + "entropy": 8.475063610076905, + "epoch": 0.4644954618259477, + "grad_norm": 1.0234375, + "learning_rate": 0.00021700000000000002, + "loss": 8.0365, + "mean_token_accuracy": 0.062472108751535416, + "num_tokens": 950814.0, + "step": 435 + }, + { + "entropy": 8.192297077178955, + "epoch": 0.46983449012279765, + "grad_norm": 0.890625, + "learning_rate": 0.0002195, + "loss": 8.0225, + "mean_token_accuracy": 0.0661535993218422, + "num_tokens": 961658.0, + "step": 440 + }, + { + "entropy": 8.43046703338623, + "epoch": 0.4751735184196476, + "grad_norm": 0.97265625, + "learning_rate": 0.000222, + "loss": 8.0993, + "mean_token_accuracy": 0.06110986284911633, + "num_tokens": 974790.0, + "step": 445 + }, + { + "entropy": 8.331879615783691, + "epoch": 0.4805125467164976, + "grad_norm": 0.7421875, + "learning_rate": 0.0002245, + "loss": 7.9772, + "mean_token_accuracy": 0.06222324036061764, + "num_tokens": 986599.0, + "step": 450 + }, + { + "entropy": 8.243362045288086, + "epoch": 0.4858515750133476, + "grad_norm": 0.84375, + "learning_rate": 0.00022700000000000002, + "loss": 7.9787, + "mean_token_accuracy": 0.06861450895667076, + "num_tokens": 997731.0, + "step": 455 + }, + { + "entropy": 8.290034008026122, + "epoch": 0.49119060331019754, + "grad_norm": 0.93359375, + "learning_rate": 0.00022950000000000002, + "loss": 8.0374, + "mean_token_accuracy": 0.06714494079351425, + "num_tokens": 1009343.0, + "step": 460 + }, + { + "entropy": 8.351651859283447, + "epoch": 0.4965296316070475, + "grad_norm": 0.8671875, + "learning_rate": 0.00023200000000000003, + "loss": 7.9541, + "mean_token_accuracy": 0.0648241501301527, + "num_tokens": 1019878.0, + "step": 465 + }, + { + "entropy": 8.248888206481933, + "epoch": 0.5018686599038975, + "grad_norm": 0.89453125, + "learning_rate": 0.00023449999999999998, + "loss": 7.9553, + "mean_token_accuracy": 0.07038948647677898, + "num_tokens": 1030551.0, + "step": 470 + }, + { + "entropy": 8.30935525894165, + "epoch": 0.5072076882007475, + "grad_norm": 1.0234375, + "learning_rate": 0.000237, + "loss": 7.9893, + "mean_token_accuracy": 0.06879530549049377, + "num_tokens": 1041432.0, + "step": 475 + }, + { + "entropy": 8.283312702178955, + "epoch": 0.5125467164975974, + "grad_norm": 0.84375, + "learning_rate": 0.0002395, + "loss": 7.9704, + "mean_token_accuracy": 0.06568947955965995, + "num_tokens": 1051769.0, + "step": 480 + }, + { + "entropy": 8.256877326965332, + "epoch": 0.5178857447944474, + "grad_norm": 1.078125, + "learning_rate": 0.000242, + "loss": 7.9282, + "mean_token_accuracy": 0.06400737687945365, + "num_tokens": 1062334.0, + "step": 485 + }, + { + "entropy": 8.27625093460083, + "epoch": 0.5232247730912973, + "grad_norm": 0.92578125, + "learning_rate": 0.0002445, + "loss": 7.921, + "mean_token_accuracy": 0.06769514791667461, + "num_tokens": 1072792.0, + "step": 490 + }, + { + "entropy": 8.173498821258544, + "epoch": 0.5285638013881474, + "grad_norm": 1.203125, + "learning_rate": 0.000247, + "loss": 7.8148, + "mean_token_accuracy": 0.07047795243561268, + "num_tokens": 1083642.0, + "step": 495 + }, + { + "entropy": 8.192062282562256, + "epoch": 0.5339028296849974, + "grad_norm": 0.97265625, + "learning_rate": 0.0002495, + "loss": 7.9111, + "mean_token_accuracy": 0.07375151067972183, + "num_tokens": 1094454.0, + "step": 500 + }, + { + "epoch": 0.5339028296849974, + "eval_entropy": 8.031556909734553, + "eval_loss": 8.007415771484375, + "eval_mean_token_accuracy": 0.06165650523715205, + "eval_num_tokens": 1094454.0, + "eval_runtime": 1.8278, + "eval_samples_per_second": 1685.073, + "eval_steps_per_second": 210.634, + "step": 500 + }, + { + "entropy": 8.316486740112305, + "epoch": 0.5392418579818473, + "grad_norm": 1.046875, + "learning_rate": 0.000252, + "loss": 7.9525, + "mean_token_accuracy": 0.06484691724181176, + "num_tokens": 1105068.0, + "step": 505 + }, + { + "entropy": 8.111512756347656, + "epoch": 0.5445808862786973, + "grad_norm": 1.078125, + "learning_rate": 0.0002545, + "loss": 7.9097, + "mean_token_accuracy": 0.07020260021090508, + "num_tokens": 1115668.0, + "step": 510 + }, + { + "entropy": 8.238842296600343, + "epoch": 0.5499199145755472, + "grad_norm": 1.046875, + "learning_rate": 0.000257, + "loss": 7.8867, + "mean_token_accuracy": 0.07027992233633995, + "num_tokens": 1126742.0, + "step": 515 + }, + { + "entropy": 8.179580593109131, + "epoch": 0.5552589428723972, + "grad_norm": 0.875, + "learning_rate": 0.0002595, + "loss": 7.9668, + "mean_token_accuracy": 0.0645244125276804, + "num_tokens": 1137351.0, + "step": 520 + }, + { + "entropy": 8.22506046295166, + "epoch": 0.5605979711692471, + "grad_norm": 0.7421875, + "learning_rate": 0.000262, + "loss": 7.8967, + "mean_token_accuracy": 0.0711884018033743, + "num_tokens": 1148389.0, + "step": 525 + }, + { + "entropy": 8.167451763153077, + "epoch": 0.5659369994660972, + "grad_norm": 1.0, + "learning_rate": 0.00026450000000000003, + "loss": 7.8994, + "mean_token_accuracy": 0.0703209575265646, + "num_tokens": 1158798.0, + "step": 530 + }, + { + "entropy": 8.239407634735107, + "epoch": 0.5712760277629472, + "grad_norm": 0.8203125, + "learning_rate": 0.00026700000000000004, + "loss": 7.948, + "mean_token_accuracy": 0.06852544359862804, + "num_tokens": 1169005.0, + "step": 535 + }, + { + "entropy": 8.212612915039063, + "epoch": 0.5766150560597971, + "grad_norm": 0.8828125, + "learning_rate": 0.00026950000000000005, + "loss": 7.8255, + "mean_token_accuracy": 0.06702273786067962, + "num_tokens": 1180560.0, + "step": 540 + }, + { + "entropy": 8.105984878540038, + "epoch": 0.5819540843566471, + "grad_norm": 0.953125, + "learning_rate": 0.00027200000000000005, + "loss": 7.8035, + "mean_token_accuracy": 0.07094659134745598, + "num_tokens": 1191162.0, + "step": 545 + }, + { + "entropy": 8.162831687927246, + "epoch": 0.587293112653497, + "grad_norm": 0.94140625, + "learning_rate": 0.0002745, + "loss": 7.8252, + "mean_token_accuracy": 0.06873422190546989, + "num_tokens": 1202017.0, + "step": 550 + }, + { + "entropy": 8.132958889007568, + "epoch": 0.592632140950347, + "grad_norm": 1.21875, + "learning_rate": 0.000277, + "loss": 7.8232, + "mean_token_accuracy": 0.07796628661453724, + "num_tokens": 1213356.0, + "step": 555 + }, + { + "entropy": 8.137973403930664, + "epoch": 0.5979711692471971, + "grad_norm": 0.94921875, + "learning_rate": 0.0002795, + "loss": 7.8335, + "mean_token_accuracy": 0.07087706178426742, + "num_tokens": 1224164.0, + "step": 560 + }, + { + "entropy": 8.08298101425171, + "epoch": 0.603310197544047, + "grad_norm": 0.9453125, + "learning_rate": 0.00028199999999999997, + "loss": 7.8463, + "mean_token_accuracy": 0.0711651612073183, + "num_tokens": 1235483.0, + "step": 565 + }, + { + "entropy": 8.127214622497558, + "epoch": 0.608649225840897, + "grad_norm": 0.90234375, + "learning_rate": 0.0002845, + "loss": 7.8595, + "mean_token_accuracy": 0.07112185694277287, + "num_tokens": 1248013.0, + "step": 570 + }, + { + "entropy": 8.093348598480224, + "epoch": 0.6139882541377469, + "grad_norm": 0.98046875, + "learning_rate": 0.000287, + "loss": 7.7999, + "mean_token_accuracy": 0.07371774725615979, + "num_tokens": 1258512.0, + "step": 575 + }, + { + "entropy": 8.157558727264405, + "epoch": 0.6193272824345969, + "grad_norm": 1.1015625, + "learning_rate": 0.0002895, + "loss": 7.8256, + "mean_token_accuracy": 0.06662675254046917, + "num_tokens": 1269425.0, + "step": 580 + }, + { + "entropy": 7.97422046661377, + "epoch": 0.6246663107314468, + "grad_norm": 0.7734375, + "learning_rate": 0.000292, + "loss": 7.7958, + "mean_token_accuracy": 0.07273220643401146, + "num_tokens": 1280595.0, + "step": 585 + }, + { + "entropy": 8.247371101379395, + "epoch": 0.6300053390282968, + "grad_norm": 1.1171875, + "learning_rate": 0.0002945, + "loss": 7.8485, + "mean_token_accuracy": 0.06550373584032058, + "num_tokens": 1290873.0, + "step": 590 + }, + { + "entropy": 8.015791416168213, + "epoch": 0.6353443673251469, + "grad_norm": 1.0625, + "learning_rate": 0.000297, + "loss": 7.852, + "mean_token_accuracy": 0.066574127972126, + "num_tokens": 1303150.0, + "step": 595 + }, + { + "entropy": 8.053708696365357, + "epoch": 0.6406833956219968, + "grad_norm": 1.109375, + "learning_rate": 0.0002995, + "loss": 7.768, + "mean_token_accuracy": 0.07012191005051135, + "num_tokens": 1314862.0, + "step": 600 + }, + { + "entropy": 8.02850046157837, + "epoch": 0.6460224239188468, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 7.8029, + "mean_token_accuracy": 0.07391900308430195, + "num_tokens": 1326052.0, + "step": 605 + }, + { + "entropy": 8.128786611557008, + "epoch": 0.6513614522156967, + "grad_norm": 0.9375, + "learning_rate": 0.0003045, + "loss": 7.7667, + "mean_token_accuracy": 0.0753765020519495, + "num_tokens": 1336847.0, + "step": 610 + }, + { + "entropy": 8.02261905670166, + "epoch": 0.6567004805125467, + "grad_norm": 1.109375, + "learning_rate": 0.000307, + "loss": 7.7701, + "mean_token_accuracy": 0.06919390633702278, + "num_tokens": 1347611.0, + "step": 615 + }, + { + "entropy": 8.006579780578614, + "epoch": 0.6620395088093967, + "grad_norm": 1.3046875, + "learning_rate": 0.0003095, + "loss": 7.7859, + "mean_token_accuracy": 0.07407167293131352, + "num_tokens": 1358679.0, + "step": 620 + }, + { + "entropy": 8.048807954788208, + "epoch": 0.6673785371062466, + "grad_norm": 0.98046875, + "learning_rate": 0.000312, + "loss": 7.7849, + "mean_token_accuracy": 0.07473289892077446, + "num_tokens": 1369409.0, + "step": 625 + }, + { + "entropy": 8.044457149505615, + "epoch": 0.6727175654030967, + "grad_norm": 1.0703125, + "learning_rate": 0.0003145, + "loss": 7.7618, + "mean_token_accuracy": 0.06960076540708542, + "num_tokens": 1380380.0, + "step": 630 + }, + { + "entropy": 8.039245176315308, + "epoch": 0.6780565936999466, + "grad_norm": 0.96875, + "learning_rate": 0.000317, + "loss": 7.7081, + "mean_token_accuracy": 0.07184483371675014, + "num_tokens": 1390885.0, + "step": 635 + }, + { + "entropy": 7.9913702487945555, + "epoch": 0.6833956219967966, + "grad_norm": 0.9765625, + "learning_rate": 0.0003195, + "loss": 7.7418, + "mean_token_accuracy": 0.07358726263046264, + "num_tokens": 1400960.0, + "step": 640 + }, + { + "entropy": 7.986459016799927, + "epoch": 0.6887346502936466, + "grad_norm": 1.125, + "learning_rate": 0.000322, + "loss": 7.6917, + "mean_token_accuracy": 0.07739836499094963, + "num_tokens": 1411484.0, + "step": 645 + }, + { + "entropy": 8.129097318649292, + "epoch": 0.6940736785904965, + "grad_norm": 1.265625, + "learning_rate": 0.00032450000000000003, + "loss": 7.7908, + "mean_token_accuracy": 0.07160034552216529, + "num_tokens": 1422931.0, + "step": 650 + }, + { + "entropy": 7.91273045539856, + "epoch": 0.6994127068873465, + "grad_norm": 1.15625, + "learning_rate": 0.00032700000000000003, + "loss": 7.7237, + "mean_token_accuracy": 0.07407537326216698, + "num_tokens": 1434347.0, + "step": 655 + }, + { + "entropy": 8.050477170944214, + "epoch": 0.7047517351841964, + "grad_norm": 0.9765625, + "learning_rate": 0.00032950000000000004, + "loss": 7.8135, + "mean_token_accuracy": 0.07437525913119317, + "num_tokens": 1445687.0, + "step": 660 + }, + { + "entropy": 8.082316970825195, + "epoch": 0.7100907634810465, + "grad_norm": 0.9921875, + "learning_rate": 0.00033200000000000005, + "loss": 7.6471, + "mean_token_accuracy": 0.08003439009189606, + "num_tokens": 1456335.0, + "step": 665 + }, + { + "entropy": 7.9566230297088625, + "epoch": 0.7154297917778965, + "grad_norm": 1.1953125, + "learning_rate": 0.00033450000000000005, + "loss": 7.7071, + "mean_token_accuracy": 0.07267946116626263, + "num_tokens": 1467369.0, + "step": 670 + }, + { + "entropy": 7.986024713516235, + "epoch": 0.7207688200747464, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 7.7612, + "mean_token_accuracy": 0.06941658817231655, + "num_tokens": 1478734.0, + "step": 675 + }, + { + "entropy": 7.984552240371704, + "epoch": 0.7261078483715964, + "grad_norm": 0.875, + "learning_rate": 0.0003395, + "loss": 7.7359, + "mean_token_accuracy": 0.07321545220911503, + "num_tokens": 1489807.0, + "step": 680 + }, + { + "entropy": 7.967883205413818, + "epoch": 0.7314468766684463, + "grad_norm": 1.046875, + "learning_rate": 0.000342, + "loss": 7.6794, + "mean_token_accuracy": 0.07043348215520381, + "num_tokens": 1501646.0, + "step": 685 + }, + { + "entropy": 7.948320388793945, + "epoch": 0.7367859049652963, + "grad_norm": 0.95703125, + "learning_rate": 0.00034449999999999997, + "loss": 7.6987, + "mean_token_accuracy": 0.07335374914109707, + "num_tokens": 1511849.0, + "step": 690 + }, + { + "entropy": 7.999287462234497, + "epoch": 0.7421249332621462, + "grad_norm": 1.3125, + "learning_rate": 0.000347, + "loss": 7.7004, + "mean_token_accuracy": 0.07678697407245635, + "num_tokens": 1522183.0, + "step": 695 + }, + { + "entropy": 7.895766305923462, + "epoch": 0.7474639615589963, + "grad_norm": 1.0078125, + "learning_rate": 0.0003495, + "loss": 7.7063, + "mean_token_accuracy": 0.07557001523673534, + "num_tokens": 1532819.0, + "step": 700 + }, + { + "entropy": 8.02945156097412, + "epoch": 0.7528029898558463, + "grad_norm": 0.99609375, + "learning_rate": 0.000352, + "loss": 7.6718, + "mean_token_accuracy": 0.07557161971926689, + "num_tokens": 1543909.0, + "step": 705 + }, + { + "entropy": 7.9088582515716555, + "epoch": 0.7581420181526962, + "grad_norm": 0.89453125, + "learning_rate": 0.0003545, + "loss": 7.7087, + "mean_token_accuracy": 0.07322404161095619, + "num_tokens": 1554147.0, + "step": 710 + }, + { + "entropy": 7.878606176376342, + "epoch": 0.7634810464495462, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 7.6136, + "mean_token_accuracy": 0.07956673577427864, + "num_tokens": 1565466.0, + "step": 715 + }, + { + "entropy": 7.8776044845581055, + "epoch": 0.7688200747463961, + "grad_norm": 0.88671875, + "learning_rate": 0.0003595, + "loss": 7.5815, + "mean_token_accuracy": 0.07377611920237541, + "num_tokens": 1577264.0, + "step": 720 + }, + { + "entropy": 7.885418844223023, + "epoch": 0.7741591030432461, + "grad_norm": 1.1796875, + "learning_rate": 0.000362, + "loss": 7.686, + "mean_token_accuracy": 0.0757551722228527, + "num_tokens": 1588222.0, + "step": 725 + }, + { + "entropy": 7.901127099990845, + "epoch": 0.7794981313400962, + "grad_norm": 1.0234375, + "learning_rate": 0.0003645, + "loss": 7.6224, + "mean_token_accuracy": 0.07221109680831432, + "num_tokens": 1600609.0, + "step": 730 + }, + { + "entropy": 7.929693412780762, + "epoch": 0.7848371596369461, + "grad_norm": 1.125, + "learning_rate": 0.000367, + "loss": 7.669, + "mean_token_accuracy": 0.07948594614863395, + "num_tokens": 1612032.0, + "step": 735 + }, + { + "entropy": 7.876828384399414, + "epoch": 0.7901761879337961, + "grad_norm": 0.98828125, + "learning_rate": 0.0003695, + "loss": 7.6973, + "mean_token_accuracy": 0.0742558129131794, + "num_tokens": 1623228.0, + "step": 740 + }, + { + "entropy": 7.857063436508179, + "epoch": 0.795515216230646, + "grad_norm": 1.15625, + "learning_rate": 0.000372, + "loss": 7.6469, + "mean_token_accuracy": 0.07817403376102447, + "num_tokens": 1634293.0, + "step": 745 + }, + { + "entropy": 7.910915946960449, + "epoch": 0.800854244527496, + "grad_norm": 1.09375, + "learning_rate": 0.0003745, + "loss": 7.6183, + "mean_token_accuracy": 0.08015101104974746, + "num_tokens": 1645782.0, + "step": 750 + }, + { + "entropy": 7.885407543182373, + "epoch": 0.8061932728243459, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.5871, + "mean_token_accuracy": 0.0775064155459404, + "num_tokens": 1657060.0, + "step": 755 + }, + { + "entropy": 7.78002610206604, + "epoch": 0.8115323011211959, + "grad_norm": 1.03125, + "learning_rate": 0.0003795, + "loss": 7.568, + "mean_token_accuracy": 0.08284709006547927, + "num_tokens": 1668017.0, + "step": 760 + }, + { + "entropy": 7.908759117126465, + "epoch": 0.816871329418046, + "grad_norm": 0.9921875, + "learning_rate": 0.000382, + "loss": 7.6398, + "mean_token_accuracy": 0.07324047535657882, + "num_tokens": 1678331.0, + "step": 765 + }, + { + "entropy": 7.884358358383179, + "epoch": 0.8222103577148959, + "grad_norm": 1.09375, + "learning_rate": 0.0003845, + "loss": 7.5591, + "mean_token_accuracy": 0.0813971921801567, + "num_tokens": 1688719.0, + "step": 770 + }, + { + "entropy": 7.755726432800293, + "epoch": 0.8275493860117459, + "grad_norm": 1.015625, + "learning_rate": 0.00038700000000000003, + "loss": 7.5821, + "mean_token_accuracy": 0.07562258839607239, + "num_tokens": 1699028.0, + "step": 775 + }, + { + "entropy": 7.950335073471069, + "epoch": 0.8328884143085958, + "grad_norm": 1.0859375, + "learning_rate": 0.00038950000000000003, + "loss": 7.5798, + "mean_token_accuracy": 0.07690282315015792, + "num_tokens": 1711122.0, + "step": 780 + }, + { + "entropy": 7.790361976623535, + "epoch": 0.8382274426054458, + "grad_norm": 1.109375, + "learning_rate": 0.00039200000000000004, + "loss": 7.5939, + "mean_token_accuracy": 0.07726500257849693, + "num_tokens": 1721694.0, + "step": 785 + }, + { + "entropy": 7.733095169067383, + "epoch": 0.8435664709022958, + "grad_norm": 1.0859375, + "learning_rate": 0.00039450000000000005, + "loss": 7.5939, + "mean_token_accuracy": 0.0780683733522892, + "num_tokens": 1732530.0, + "step": 790 + }, + { + "entropy": 7.877895975112915, + "epoch": 0.8489054991991457, + "grad_norm": 1.015625, + "learning_rate": 0.00039700000000000005, + "loss": 7.5577, + "mean_token_accuracy": 0.08093490153551101, + "num_tokens": 1742860.0, + "step": 795 + }, + { + "entropy": 7.750740194320679, + "epoch": 0.8542445274959958, + "grad_norm": 1.0390625, + "learning_rate": 0.0003995, + "loss": 7.5315, + "mean_token_accuracy": 0.0812942422926426, + "num_tokens": 1752900.0, + "step": 800 + }, + { + "entropy": 7.801487588882447, + "epoch": 0.8595835557928457, + "grad_norm": 1.0, + "learning_rate": 0.000402, + "loss": 7.5465, + "mean_token_accuracy": 0.07882912531495094, + "num_tokens": 1763293.0, + "step": 805 + }, + { + "entropy": 7.752074146270752, + "epoch": 0.8649225840896957, + "grad_norm": 0.9609375, + "learning_rate": 0.0004045, + "loss": 7.5696, + "mean_token_accuracy": 0.0819572426378727, + "num_tokens": 1773893.0, + "step": 810 + }, + { + "entropy": 7.815144634246826, + "epoch": 0.8702616123865456, + "grad_norm": 0.97265625, + "learning_rate": 0.00040699999999999997, + "loss": 7.6358, + "mean_token_accuracy": 0.07636146545410157, + "num_tokens": 1785568.0, + "step": 815 + }, + { + "entropy": 7.8184651851654055, + "epoch": 0.8756006406833956, + "grad_norm": 0.90625, + "learning_rate": 0.0004095, + "loss": 7.5594, + "mean_token_accuracy": 0.08072886392474174, + "num_tokens": 1797387.0, + "step": 820 + }, + { + "entropy": 7.813911390304566, + "epoch": 0.8809396689802456, + "grad_norm": 0.9921875, + "learning_rate": 0.000412, + "loss": 7.5902, + "mean_token_accuracy": 0.07879998087882996, + "num_tokens": 1808382.0, + "step": 825 + }, + { + "entropy": 7.829354333877563, + "epoch": 0.8862786972770955, + "grad_norm": 0.97265625, + "learning_rate": 0.0004145, + "loss": 7.5745, + "mean_token_accuracy": 0.0824002705514431, + "num_tokens": 1818937.0, + "step": 830 + }, + { + "entropy": 7.799869441986084, + "epoch": 0.8916177255739456, + "grad_norm": 0.96875, + "learning_rate": 0.000417, + "loss": 7.5099, + "mean_token_accuracy": 0.07985455431044101, + "num_tokens": 1830547.0, + "step": 835 + }, + { + "entropy": 7.7153465270996096, + "epoch": 0.8969567538707955, + "grad_norm": 1.0078125, + "learning_rate": 0.0004195, + "loss": 7.5052, + "mean_token_accuracy": 0.08278301656246186, + "num_tokens": 1841569.0, + "step": 840 + }, + { + "entropy": 7.764185190200806, + "epoch": 0.9022957821676455, + "grad_norm": 0.98046875, + "learning_rate": 0.000422, + "loss": 7.5154, + "mean_token_accuracy": 0.08583573549985886, + "num_tokens": 1852300.0, + "step": 845 + }, + { + "entropy": 7.718573999404907, + "epoch": 0.9076348104644955, + "grad_norm": 0.9921875, + "learning_rate": 0.0004245, + "loss": 7.5077, + "mean_token_accuracy": 0.08417970538139344, + "num_tokens": 1863664.0, + "step": 850 + }, + { + "entropy": 7.6863548278808596, + "epoch": 0.9129738387613454, + "grad_norm": 1.0, + "learning_rate": 0.000427, + "loss": 7.4426, + "mean_token_accuracy": 0.08229955136775971, + "num_tokens": 1873623.0, + "step": 855 + }, + { + "entropy": 7.687994432449341, + "epoch": 0.9183128670581954, + "grad_norm": 1.1328125, + "learning_rate": 0.0004295, + "loss": 7.5429, + "mean_token_accuracy": 0.0791929729282856, + "num_tokens": 1886092.0, + "step": 860 + }, + { + "entropy": 7.751056241989136, + "epoch": 0.9236518953550453, + "grad_norm": 1.0390625, + "learning_rate": 0.000432, + "loss": 7.5525, + "mean_token_accuracy": 0.08293391354382038, + "num_tokens": 1897983.0, + "step": 865 + }, + { + "entropy": 7.769723224639892, + "epoch": 0.9289909236518954, + "grad_norm": 1.265625, + "learning_rate": 0.0004345, + "loss": 7.5134, + "mean_token_accuracy": 0.08427821174263954, + "num_tokens": 1908193.0, + "step": 870 + }, + { + "entropy": 7.7698462963104244, + "epoch": 0.9343299519487454, + "grad_norm": 0.97265625, + "learning_rate": 0.000437, + "loss": 7.4921, + "mean_token_accuracy": 0.08160046115517616, + "num_tokens": 1918628.0, + "step": 875 + }, + { + "entropy": 7.668918085098267, + "epoch": 0.9396689802455953, + "grad_norm": 1.0546875, + "learning_rate": 0.0004395, + "loss": 7.5372, + "mean_token_accuracy": 0.08014441058039665, + "num_tokens": 1929071.0, + "step": 880 + }, + { + "entropy": 7.654262733459473, + "epoch": 0.9450080085424453, + "grad_norm": 1.1015625, + "learning_rate": 0.000442, + "loss": 7.5003, + "mean_token_accuracy": 0.08210862651467324, + "num_tokens": 1939567.0, + "step": 885 + }, + { + "entropy": 7.773276090621948, + "epoch": 0.9503470368392952, + "grad_norm": 1.0390625, + "learning_rate": 0.0004445, + "loss": 7.5402, + "mean_token_accuracy": 0.08018058091402054, + "num_tokens": 1951165.0, + "step": 890 + }, + { + "entropy": 7.798144149780273, + "epoch": 0.9556860651361452, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 7.4594, + "mean_token_accuracy": 0.08885749988257885, + "num_tokens": 1960855.0, + "step": 895 + }, + { + "entropy": 7.707589864730835, + "epoch": 0.9610250934329952, + "grad_norm": 0.9765625, + "learning_rate": 0.00044950000000000003, + "loss": 7.4564, + "mean_token_accuracy": 0.08240535110235214, + "num_tokens": 1971873.0, + "step": 900 + }, + { + "entropy": 7.671180057525635, + "epoch": 0.9663641217298452, + "grad_norm": 0.828125, + "learning_rate": 0.00045200000000000004, + "loss": 7.4848, + "mean_token_accuracy": 0.08260536044836045, + "num_tokens": 1983561.0, + "step": 905 + }, + { + "entropy": 7.731744003295899, + "epoch": 0.9717031500266952, + "grad_norm": 1.0078125, + "learning_rate": 0.00045450000000000004, + "loss": 7.4828, + "mean_token_accuracy": 0.08393343463540077, + "num_tokens": 1994534.0, + "step": 910 + }, + { + "entropy": 7.590392780303955, + "epoch": 0.9770421783235451, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 7.432, + "mean_token_accuracy": 0.08598880358040333, + "num_tokens": 2005121.0, + "step": 915 + }, + { + "entropy": 7.696979951858521, + "epoch": 0.9823812066203951, + "grad_norm": 1.046875, + "learning_rate": 0.00045950000000000006, + "loss": 7.4211, + "mean_token_accuracy": 0.08999745771288872, + "num_tokens": 2016260.0, + "step": 920 + }, + { + "entropy": 7.615106248855591, + "epoch": 0.987720234917245, + "grad_norm": 0.890625, + "learning_rate": 0.000462, + "loss": 7.4074, + "mean_token_accuracy": 0.08892037123441696, + "num_tokens": 2025705.0, + "step": 925 + }, + { + "entropy": 7.7097069263458256, + "epoch": 0.993059263214095, + "grad_norm": 0.84765625, + "learning_rate": 0.0004645, + "loss": 7.5596, + "mean_token_accuracy": 0.07989178895950318, + "num_tokens": 2036675.0, + "step": 930 + }, + { + "entropy": 7.544618844985962, + "epoch": 0.9983982915109451, + "grad_norm": 0.953125, + "learning_rate": 0.000467, + "loss": 7.4114, + "mean_token_accuracy": 0.08617193698883056, + "num_tokens": 2047877.0, + "step": 935 + }, + { + "entropy": 7.8020609219868975, + "epoch": 1.0032034169781099, + "grad_norm": 1.0078125, + "learning_rate": 0.0004695, + "loss": 7.3332, + "mean_token_accuracy": 0.08596346527338028, + "num_tokens": 2057153.0, + "step": 940 + }, + { + "entropy": 7.623947048187256, + "epoch": 1.00854244527496, + "grad_norm": 1.265625, + "learning_rate": 0.000472, + "loss": 7.4568, + "mean_token_accuracy": 0.0771791972219944, + "num_tokens": 2068760.0, + "step": 945 + }, + { + "entropy": 7.589405059814453, + "epoch": 1.01388147357181, + "grad_norm": 0.96875, + "learning_rate": 0.0004745, + "loss": 7.3104, + "mean_token_accuracy": 0.0916103646159172, + "num_tokens": 2078671.0, + "step": 950 + }, + { + "entropy": 7.588209199905395, + "epoch": 1.01922050186866, + "grad_norm": 0.953125, + "learning_rate": 0.000477, + "loss": 7.3495, + "mean_token_accuracy": 0.08704460337758065, + "num_tokens": 2089581.0, + "step": 955 + }, + { + "entropy": 7.6823986053466795, + "epoch": 1.02455953016551, + "grad_norm": 0.93359375, + "learning_rate": 0.0004795, + "loss": 7.293, + "mean_token_accuracy": 0.09483219981193543, + "num_tokens": 2100026.0, + "step": 960 + }, + { + "entropy": 7.51586127281189, + "epoch": 1.02989855846236, + "grad_norm": 0.90234375, + "learning_rate": 0.000482, + "loss": 7.3062, + "mean_token_accuracy": 0.09631321728229522, + "num_tokens": 2111838.0, + "step": 965 + }, + { + "entropy": 7.603687572479248, + "epoch": 1.0352375867592098, + "grad_norm": 0.765625, + "learning_rate": 0.0004845, + "loss": 7.3908, + "mean_token_accuracy": 0.0855435535311699, + "num_tokens": 2123063.0, + "step": 970 + }, + { + "entropy": 7.658422660827637, + "epoch": 1.0405766150560598, + "grad_norm": 0.95703125, + "learning_rate": 0.000487, + "loss": 7.279, + "mean_token_accuracy": 0.09217825904488564, + "num_tokens": 2134321.0, + "step": 975 + }, + { + "entropy": 7.596205329895019, + "epoch": 1.0459156433529098, + "grad_norm": 1.0625, + "learning_rate": 0.0004895, + "loss": 7.3405, + "mean_token_accuracy": 0.09226287379860879, + "num_tokens": 2144216.0, + "step": 980 + }, + { + "entropy": 7.586561298370361, + "epoch": 1.0512546716497597, + "grad_norm": 1.0390625, + "learning_rate": 0.000492, + "loss": 7.3236, + "mean_token_accuracy": 0.08801514208316803, + "num_tokens": 2155757.0, + "step": 985 + }, + { + "entropy": 7.509102058410645, + "epoch": 1.0565936999466097, + "grad_norm": 0.92578125, + "learning_rate": 0.0004945, + "loss": 7.2762, + "mean_token_accuracy": 0.08867826834321021, + "num_tokens": 2166661.0, + "step": 990 + }, + { + "entropy": 7.554547595977783, + "epoch": 1.0619327282434596, + "grad_norm": 0.984375, + "learning_rate": 0.000497, + "loss": 7.2522, + "mean_token_accuracy": 0.0905068688094616, + "num_tokens": 2176796.0, + "step": 995 + }, + { + "entropy": 7.565032482147217, + "epoch": 1.0672717565403096, + "grad_norm": 1.078125, + "learning_rate": 0.0004995, + "loss": 7.3151, + "mean_token_accuracy": 0.09214983209967613, + "num_tokens": 2186821.0, + "step": 1000 + }, + { + "epoch": 1.0672717565403096, + "eval_entropy": 7.661522679514699, + "eval_loss": 7.484097957611084, + "eval_mean_token_accuracy": 0.08444042449163926, + "eval_num_tokens": 2186821.0, + "eval_runtime": 1.8185, + "eval_samples_per_second": 1693.67, + "eval_steps_per_second": 211.709, + "step": 1000 + }, + { + "entropy": 7.488584995269775, + "epoch": 1.0726107848371595, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999997458093253, + "loss": 7.2872, + "mean_token_accuracy": 0.08735908269882202, + "num_tokens": 2197953.0, + "step": 1005 + }, + { + "entropy": 7.587278175354004, + "epoch": 1.0779498131340097, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999987131606938, + "loss": 7.2946, + "mean_token_accuracy": 0.09318367019295692, + "num_tokens": 2208033.0, + "step": 1010 + }, + { + "entropy": 7.508203601837158, + "epoch": 1.0832888414308597, + "grad_norm": 0.8984375, + "learning_rate": 0.0004999968861708311, + "loss": 7.306, + "mean_token_accuracy": 0.0833747498691082, + "num_tokens": 2218010.0, + "step": 1015 + }, + { + "entropy": 7.607468748092652, + "epoch": 1.0886278697277096, + "grad_norm": 0.92578125, + "learning_rate": 0.0004999942648461873, + "loss": 7.3213, + "mean_token_accuracy": 0.08709867373108864, + "num_tokens": 2229079.0, + "step": 1020 + }, + { + "entropy": 7.554487895965576, + "epoch": 1.0939668980245596, + "grad_norm": 0.9453125, + "learning_rate": 0.0004999908491960169, + "loss": 7.3188, + "mean_token_accuracy": 0.08554268255829811, + "num_tokens": 2240333.0, + "step": 1025 + }, + { + "entropy": 7.41667366027832, + "epoch": 1.0993059263214096, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999866392323784, + "loss": 7.2619, + "mean_token_accuracy": 0.09279655292630196, + "num_tokens": 2251385.0, + "step": 1030 + }, + { + "entropy": 7.586219072341919, + "epoch": 1.1046449546182595, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999816349701349, + "loss": 7.2562, + "mean_token_accuracy": 0.09476209431886673, + "num_tokens": 2261890.0, + "step": 1035 + }, + { + "entropy": 7.429596185684204, + "epoch": 1.1099839829151095, + "grad_norm": 1.078125, + "learning_rate": 0.0004999758364269535, + "loss": 7.287, + "mean_token_accuracy": 0.0902016930282116, + "num_tokens": 2272510.0, + "step": 1040 + }, + { + "entropy": 7.436788702011109, + "epoch": 1.1153230112119594, + "grad_norm": 0.94921875, + "learning_rate": 0.0004999692436233055, + "loss": 7.2791, + "mean_token_accuracy": 0.08760200515389442, + "num_tokens": 2283392.0, + "step": 1045 + }, + { + "entropy": 7.570240783691406, + "epoch": 1.1206620395088094, + "grad_norm": 0.953125, + "learning_rate": 0.0004999618565824665, + "loss": 7.2279, + "mean_token_accuracy": 0.09378096982836723, + "num_tokens": 2295155.0, + "step": 1050 + }, + { + "entropy": 7.490195608139038, + "epoch": 1.1260010678056593, + "grad_norm": 0.984375, + "learning_rate": 0.0004999536753305157, + "loss": 7.3268, + "mean_token_accuracy": 0.08983222171664237, + "num_tokens": 2307208.0, + "step": 1055 + }, + { + "entropy": 7.629471921920777, + "epoch": 1.1313400961025093, + "grad_norm": 1.046875, + "learning_rate": 0.0004999446998963364, + "loss": 7.2481, + "mean_token_accuracy": 0.09013928584754467, + "num_tokens": 2317480.0, + "step": 1060 + }, + { + "entropy": 7.449492406845093, + "epoch": 1.1366791243993593, + "grad_norm": 0.9921875, + "learning_rate": 0.0004999349303116159, + "loss": 7.3373, + "mean_token_accuracy": 0.08976641297340393, + "num_tokens": 2328840.0, + "step": 1065 + }, + { + "entropy": 7.580901098251343, + "epoch": 1.1420181526962092, + "grad_norm": 0.984375, + "learning_rate": 0.0004999243666108448, + "loss": 7.285, + "mean_token_accuracy": 0.09045098423957824, + "num_tokens": 2340450.0, + "step": 1070 + }, + { + "entropy": 7.4406897068023685, + "epoch": 1.1473571809930592, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999130088313176, + "loss": 7.3033, + "mean_token_accuracy": 0.09590284526348114, + "num_tokens": 2351415.0, + "step": 1075 + }, + { + "entropy": 7.485285329818725, + "epoch": 1.1526962092899091, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999008570131319, + "loss": 7.2965, + "mean_token_accuracy": 0.09630362093448638, + "num_tokens": 2362153.0, + "step": 1080 + }, + { + "entropy": 7.625531721115112, + "epoch": 1.1580352375867593, + "grad_norm": 0.99609375, + "learning_rate": 0.0004998879111991889, + "loss": 7.2759, + "mean_token_accuracy": 0.089786946028471, + "num_tokens": 2372352.0, + "step": 1085 + }, + { + "entropy": 7.374940299987793, + "epoch": 1.1633742658836093, + "grad_norm": 0.9375, + "learning_rate": 0.000499874171435193, + "loss": 7.2659, + "mean_token_accuracy": 0.09284015148878097, + "num_tokens": 2382294.0, + "step": 1090 + }, + { + "entropy": 7.572332715988159, + "epoch": 1.1687132941804592, + "grad_norm": 1.0, + "learning_rate": 0.0004998596377696511, + "loss": 7.2382, + "mean_token_accuracy": 0.09612747579813004, + "num_tokens": 2394054.0, + "step": 1095 + }, + { + "entropy": 7.367642450332641, + "epoch": 1.1740523224773092, + "grad_norm": 0.94140625, + "learning_rate": 0.0004998443102538734, + "loss": 7.2585, + "mean_token_accuracy": 0.09028631299734116, + "num_tokens": 2405408.0, + "step": 1100 + }, + { + "entropy": 7.572077369689941, + "epoch": 1.1793913507741591, + "grad_norm": 0.875, + "learning_rate": 0.0004998281889419725, + "loss": 7.2905, + "mean_token_accuracy": 0.08611830845475196, + "num_tokens": 2416378.0, + "step": 1105 + }, + { + "entropy": 7.381543397903442, + "epoch": 1.184730379071009, + "grad_norm": 0.97265625, + "learning_rate": 0.0004998112738908636, + "loss": 7.183, + "mean_token_accuracy": 0.09558979794383049, + "num_tokens": 2427016.0, + "step": 1110 + }, + { + "entropy": 7.501509714126587, + "epoch": 1.190069407367859, + "grad_norm": 1.0, + "learning_rate": 0.0004997935651602641, + "loss": 7.1302, + "mean_token_accuracy": 0.09728729203343392, + "num_tokens": 2437824.0, + "step": 1115 + }, + { + "entropy": 7.4092631340026855, + "epoch": 1.195408435664709, + "grad_norm": 0.8671875, + "learning_rate": 0.0004997750628126931, + "loss": 7.2588, + "mean_token_accuracy": 0.08902693465352059, + "num_tokens": 2448829.0, + "step": 1120 + }, + { + "entropy": 7.444784927368164, + "epoch": 1.200747463961559, + "grad_norm": 0.9453125, + "learning_rate": 0.0004997557669134718, + "loss": 7.2186, + "mean_token_accuracy": 0.09314063340425491, + "num_tokens": 2459629.0, + "step": 1125 + }, + { + "entropy": 7.362234878540039, + "epoch": 1.206086492258409, + "grad_norm": 0.8515625, + "learning_rate": 0.0004997356775307231, + "loss": 7.2803, + "mean_token_accuracy": 0.09419681504368782, + "num_tokens": 2471478.0, + "step": 1130 + }, + { + "entropy": 7.532480144500733, + "epoch": 1.2114255205552589, + "grad_norm": 1.078125, + "learning_rate": 0.000499714794735371, + "loss": 7.1266, + "mean_token_accuracy": 0.10543641149997711, + "num_tokens": 2481573.0, + "step": 1135 + }, + { + "entropy": 7.350391530990601, + "epoch": 1.2167645488521088, + "grad_norm": 0.96484375, + "learning_rate": 0.0004996931186011406, + "loss": 7.256, + "mean_token_accuracy": 0.09152917265892029, + "num_tokens": 2493429.0, + "step": 1140 + }, + { + "entropy": 7.421112728118897, + "epoch": 1.222103577148959, + "grad_norm": 1.0546875, + "learning_rate": 0.000499670649204558, + "loss": 7.218, + "mean_token_accuracy": 0.09748484790325165, + "num_tokens": 2503882.0, + "step": 1145 + }, + { + "entropy": 7.419456720352173, + "epoch": 1.227442605445809, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996473866249496, + "loss": 7.1971, + "mean_token_accuracy": 0.09453025832772255, + "num_tokens": 2513978.0, + "step": 1150 + }, + { + "entropy": 7.512584495544433, + "epoch": 1.232781633742659, + "grad_norm": 1.03125, + "learning_rate": 0.0004996233309444424, + "loss": 7.2582, + "mean_token_accuracy": 0.09497607797384262, + "num_tokens": 2523806.0, + "step": 1155 + }, + { + "entropy": 7.397188282012939, + "epoch": 1.2381206620395089, + "grad_norm": 0.96875, + "learning_rate": 0.000499598482247963, + "loss": 7.2416, + "mean_token_accuracy": 0.09581049084663391, + "num_tokens": 2533695.0, + "step": 1160 + }, + { + "entropy": 7.449572372436523, + "epoch": 1.2434596903363588, + "grad_norm": 0.93359375, + "learning_rate": 0.0004995728406232378, + "loss": 7.1616, + "mean_token_accuracy": 0.10089872553944587, + "num_tokens": 2544315.0, + "step": 1165 + }, + { + "entropy": 7.433754110336304, + "epoch": 1.2487987186332088, + "grad_norm": 1.2421875, + "learning_rate": 0.000499546406160793, + "loss": 7.1648, + "mean_token_accuracy": 0.09890817850828171, + "num_tokens": 2555985.0, + "step": 1170 + }, + { + "entropy": 7.336302137374878, + "epoch": 1.2541377469300587, + "grad_norm": 0.9296875, + "learning_rate": 0.0004995191789539531, + "loss": 7.2444, + "mean_token_accuracy": 0.09039352908730507, + "num_tokens": 2567472.0, + "step": 1175 + }, + { + "entropy": 7.473226404190063, + "epoch": 1.2594767752269087, + "grad_norm": 0.90625, + "learning_rate": 0.0004994911590988421, + "loss": 7.2288, + "mean_token_accuracy": 0.09728409722447395, + "num_tokens": 2578030.0, + "step": 1180 + }, + { + "entropy": 7.461479711532593, + "epoch": 1.2648158035237587, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994623466943816, + "loss": 7.2471, + "mean_token_accuracy": 0.093011786788702, + "num_tokens": 2589925.0, + "step": 1185 + }, + { + "entropy": 7.40461311340332, + "epoch": 1.2701548318206086, + "grad_norm": 1.015625, + "learning_rate": 0.0004994327418422922, + "loss": 7.1787, + "mean_token_accuracy": 0.09393652454018593, + "num_tokens": 2601825.0, + "step": 1190 + }, + { + "entropy": 7.403125238418579, + "epoch": 1.2754938601174586, + "grad_norm": 0.91015625, + "learning_rate": 0.0004994023446470912, + "loss": 7.1985, + "mean_token_accuracy": 0.09799938648939133, + "num_tokens": 2612726.0, + "step": 1195 + }, + { + "entropy": 7.348568964004516, + "epoch": 1.2808328884143085, + "grad_norm": 0.875, + "learning_rate": 0.0004993711552160936, + "loss": 7.1336, + "mean_token_accuracy": 0.09304829761385917, + "num_tokens": 2623753.0, + "step": 1200 + }, + { + "entropy": 7.404272222518921, + "epoch": 1.2861719167111585, + "grad_norm": 1.0, + "learning_rate": 0.0004993391736594117, + "loss": 7.1593, + "mean_token_accuracy": 0.0968549020588398, + "num_tokens": 2635275.0, + "step": 1205 + }, + { + "entropy": 7.480840063095092, + "epoch": 1.2915109450080084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004993064000899538, + "loss": 7.2019, + "mean_token_accuracy": 0.09882493540644646, + "num_tokens": 2646329.0, + "step": 1210 + }, + { + "entropy": 7.275875473022461, + "epoch": 1.2968499733048584, + "grad_norm": 0.88671875, + "learning_rate": 0.0004992728346234246, + "loss": 7.2084, + "mean_token_accuracy": 0.09495408535003662, + "num_tokens": 2657629.0, + "step": 1215 + }, + { + "entropy": 7.453315734863281, + "epoch": 1.3021890016017084, + "grad_norm": 1.0078125, + "learning_rate": 0.0004992384773783244, + "loss": 7.1886, + "mean_token_accuracy": 0.09616189375519753, + "num_tokens": 2667746.0, + "step": 1220 + }, + { + "entropy": 7.27887864112854, + "epoch": 1.3075280298985585, + "grad_norm": 0.9453125, + "learning_rate": 0.0004992033284759491, + "loss": 7.1507, + "mean_token_accuracy": 0.10439181700348854, + "num_tokens": 2678157.0, + "step": 1225 + }, + { + "entropy": 7.484576034545898, + "epoch": 1.3128670581954085, + "grad_norm": 1.0703125, + "learning_rate": 0.0004991673880403891, + "loss": 7.2097, + "mean_token_accuracy": 0.09509778320789337, + "num_tokens": 2689319.0, + "step": 1230 + }, + { + "entropy": 7.382059717178345, + "epoch": 1.3182060864922585, + "grad_norm": 0.953125, + "learning_rate": 0.0004991306561985294, + "loss": 7.1406, + "mean_token_accuracy": 0.09976356402039528, + "num_tokens": 2699718.0, + "step": 1235 + }, + { + "entropy": 7.359973287582397, + "epoch": 1.3235451147891084, + "grad_norm": 0.9765625, + "learning_rate": 0.0004990931330800492, + "loss": 7.19, + "mean_token_accuracy": 0.09778250828385353, + "num_tokens": 2710888.0, + "step": 1240 + }, + { + "entropy": 7.3708795547485355, + "epoch": 1.3288841430859584, + "grad_norm": 1.0078125, + "learning_rate": 0.0004990548188174211, + "loss": 7.1108, + "mean_token_accuracy": 0.0972976379096508, + "num_tokens": 2722024.0, + "step": 1245 + }, + { + "entropy": 7.322368574142456, + "epoch": 1.3342231713828083, + "grad_norm": 1.015625, + "learning_rate": 0.0004990157135459105, + "loss": 7.0693, + "mean_token_accuracy": 0.09633990824222564, + "num_tokens": 2731780.0, + "step": 1250 + }, + { + "entropy": 7.395527935028076, + "epoch": 1.3395621996796583, + "grad_norm": 1.0625, + "learning_rate": 0.0004989758174035758, + "loss": 7.1745, + "mean_token_accuracy": 0.0960126519203186, + "num_tokens": 2742524.0, + "step": 1255 + }, + { + "entropy": 7.409232425689697, + "epoch": 1.3449012279765082, + "grad_norm": 0.921875, + "learning_rate": 0.0004989351305312676, + "loss": 7.1378, + "mean_token_accuracy": 0.09832295700907707, + "num_tokens": 2752077.0, + "step": 1260 + }, + { + "entropy": 7.322344446182251, + "epoch": 1.3502402562733582, + "grad_norm": 1.03125, + "learning_rate": 0.0004988936530726276, + "loss": 7.1473, + "mean_token_accuracy": 0.09714090898633003, + "num_tokens": 2763625.0, + "step": 1265 + }, + { + "entropy": 7.293940925598145, + "epoch": 1.3555792845702082, + "grad_norm": 0.9375, + "learning_rate": 0.0004988513851740889, + "loss": 7.1327, + "mean_token_accuracy": 0.10281604751944542, + "num_tokens": 2775262.0, + "step": 1270 + }, + { + "entropy": 7.3934331893920895, + "epoch": 1.3609183128670583, + "grad_norm": 0.91015625, + "learning_rate": 0.0004988083269848753, + "loss": 7.1964, + "mean_token_accuracy": 0.09679302722215652, + "num_tokens": 2786449.0, + "step": 1275 + }, + { + "entropy": 7.385905408859253, + "epoch": 1.3662573411639083, + "grad_norm": 0.80078125, + "learning_rate": 0.0004987644786570003, + "loss": 7.1696, + "mean_token_accuracy": 0.09244814142584801, + "num_tokens": 2796891.0, + "step": 1280 + }, + { + "entropy": 7.33904447555542, + "epoch": 1.3715963694607582, + "grad_norm": 0.96484375, + "learning_rate": 0.0004987198403452674, + "loss": 7.1607, + "mean_token_accuracy": 0.09559275880455971, + "num_tokens": 2806926.0, + "step": 1285 + }, + { + "entropy": 7.3863444328308105, + "epoch": 1.3769353977576082, + "grad_norm": 0.98046875, + "learning_rate": 0.0004986744122072688, + "loss": 7.0899, + "mean_token_accuracy": 0.09752057045698166, + "num_tokens": 2817750.0, + "step": 1290 + }, + { + "entropy": 7.180061292648316, + "epoch": 1.3822744260544582, + "grad_norm": 0.890625, + "learning_rate": 0.0004986281944033851, + "loss": 7.1001, + "mean_token_accuracy": 0.10428606942296029, + "num_tokens": 2827770.0, + "step": 1295 + }, + { + "entropy": 7.401736879348755, + "epoch": 1.3876134543513081, + "grad_norm": 0.8515625, + "learning_rate": 0.0004985811870967848, + "loss": 7.1361, + "mean_token_accuracy": 0.10217376500368118, + "num_tokens": 2839583.0, + "step": 1300 + }, + { + "entropy": 7.363368988037109, + "epoch": 1.392952482648158, + "grad_norm": 0.92578125, + "learning_rate": 0.0004985333904534237, + "loss": 7.1358, + "mean_token_accuracy": 0.10174108073115348, + "num_tokens": 2850621.0, + "step": 1305 + }, + { + "entropy": 7.260199737548828, + "epoch": 1.398291510945008, + "grad_norm": 1.1015625, + "learning_rate": 0.0004984848046420445, + "loss": 7.1302, + "mean_token_accuracy": 0.09183874055743217, + "num_tokens": 2862287.0, + "step": 1310 + }, + { + "entropy": 7.392441749572754, + "epoch": 1.403630539241858, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984354298341756, + "loss": 7.1278, + "mean_token_accuracy": 0.10441029965877532, + "num_tokens": 2871769.0, + "step": 1315 + }, + { + "entropy": 7.305068445205689, + "epoch": 1.408969567538708, + "grad_norm": 0.984375, + "learning_rate": 0.0004983852662041312, + "loss": 7.1009, + "mean_token_accuracy": 0.0979885146021843, + "num_tokens": 2882590.0, + "step": 1320 + }, + { + "entropy": 7.323603248596191, + "epoch": 1.414308595835558, + "grad_norm": 0.8984375, + "learning_rate": 0.00049833431392901, + "loss": 7.1618, + "mean_token_accuracy": 0.09200560078024864, + "num_tokens": 2893903.0, + "step": 1325 + }, + { + "entropy": 7.257247972488403, + "epoch": 1.4196476241324079, + "grad_norm": 1.0859375, + "learning_rate": 0.0004982825731886956, + "loss": 7.0838, + "mean_token_accuracy": 0.09896045774221421, + "num_tokens": 2904532.0, + "step": 1330 + }, + { + "entropy": 7.321243238449097, + "epoch": 1.4249866524292578, + "grad_norm": 0.89453125, + "learning_rate": 0.0004982300441658546, + "loss": 7.0602, + "mean_token_accuracy": 0.09538981467485427, + "num_tokens": 2916340.0, + "step": 1335 + }, + { + "entropy": 7.252778673171997, + "epoch": 1.4303256807261078, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981767270459367, + "loss": 7.0686, + "mean_token_accuracy": 0.10086248964071273, + "num_tokens": 2926424.0, + "step": 1340 + }, + { + "entropy": 7.384427738189697, + "epoch": 1.4356647090229577, + "grad_norm": 0.94140625, + "learning_rate": 0.0004981226220171744, + "loss": 7.1487, + "mean_token_accuracy": 0.09660428166389465, + "num_tokens": 2937620.0, + "step": 1345 + }, + { + "entropy": 7.306267547607422, + "epoch": 1.4410037373198077, + "grad_norm": 0.92578125, + "learning_rate": 0.0004980677292705811, + "loss": 7.0283, + "mean_token_accuracy": 0.10887585952877998, + "num_tokens": 2948274.0, + "step": 1350 + }, + { + "entropy": 7.251709699630737, + "epoch": 1.4463427656166576, + "grad_norm": 0.94140625, + "learning_rate": 0.0004980120489999519, + "loss": 7.1382, + "mean_token_accuracy": 0.09639003127813339, + "num_tokens": 2958986.0, + "step": 1355 + }, + { + "entropy": 7.4081559658050535, + "epoch": 1.4516817939135078, + "grad_norm": 1.015625, + "learning_rate": 0.0004979555814018617, + "loss": 7.162, + "mean_token_accuracy": 0.09467695504426957, + "num_tokens": 2970933.0, + "step": 1360 + }, + { + "entropy": 7.283700609207154, + "epoch": 1.4570208222103578, + "grad_norm": 0.95703125, + "learning_rate": 0.000497898326675665, + "loss": 7.1182, + "mean_token_accuracy": 0.10104830637574196, + "num_tokens": 2981197.0, + "step": 1365 + }, + { + "entropy": 7.330152797698974, + "epoch": 1.4623598505072077, + "grad_norm": 0.90234375, + "learning_rate": 0.0004978402850234956, + "loss": 7.1262, + "mean_token_accuracy": 0.10599048286676407, + "num_tokens": 2993732.0, + "step": 1370 + }, + { + "entropy": 7.264380216598511, + "epoch": 1.4676988788040577, + "grad_norm": 0.93359375, + "learning_rate": 0.0004977814566502651, + "loss": 7.071, + "mean_token_accuracy": 0.10518286749720573, + "num_tokens": 3004617.0, + "step": 1375 + }, + { + "entropy": 7.271407747268677, + "epoch": 1.4730379071009077, + "grad_norm": 0.8671875, + "learning_rate": 0.0004977218417636629, + "loss": 7.0138, + "mean_token_accuracy": 0.10099183842539787, + "num_tokens": 3015058.0, + "step": 1380 + }, + { + "entropy": 7.180662345886231, + "epoch": 1.4783769353977576, + "grad_norm": 0.9765625, + "learning_rate": 0.0004976614405741546, + "loss": 7.0199, + "mean_token_accuracy": 0.10256859883666039, + "num_tokens": 3025995.0, + "step": 1385 + }, + { + "entropy": 7.355836534500122, + "epoch": 1.4837159636946076, + "grad_norm": 0.9375, + "learning_rate": 0.0004976002532949823, + "loss": 7.0472, + "mean_token_accuracy": 0.1040610671043396, + "num_tokens": 3036060.0, + "step": 1390 + }, + { + "entropy": 7.186236763000489, + "epoch": 1.4890549919914575, + "grad_norm": 0.921875, + "learning_rate": 0.0004975382801421631, + "loss": 7.0578, + "mean_token_accuracy": 0.1070075087249279, + "num_tokens": 3047012.0, + "step": 1395 + }, + { + "entropy": 7.2215704917907715, + "epoch": 1.4943940202883075, + "grad_norm": 0.953125, + "learning_rate": 0.0004974755213344886, + "loss": 6.9844, + "mean_token_accuracy": 0.1064968764781952, + "num_tokens": 3058186.0, + "step": 1400 + }, + { + "entropy": 7.222527360916137, + "epoch": 1.4997330485851574, + "grad_norm": 0.9453125, + "learning_rate": 0.0004974119770935242, + "loss": 6.9946, + "mean_token_accuracy": 0.10440263673663139, + "num_tokens": 3068566.0, + "step": 1405 + }, + { + "entropy": 7.2857832431793215, + "epoch": 1.5050720768820076, + "grad_norm": 0.9140625, + "learning_rate": 0.0004973476476436081, + "loss": 7.0199, + "mean_token_accuracy": 0.10458874180912972, + "num_tokens": 3079588.0, + "step": 1410 + }, + { + "entropy": 7.08985447883606, + "epoch": 1.5104111051788576, + "grad_norm": 0.9375, + "learning_rate": 0.0004972825332118505, + "loss": 7.0023, + "mean_token_accuracy": 0.10629142746329308, + "num_tokens": 3092376.0, + "step": 1415 + }, + { + "entropy": 7.245244026184082, + "epoch": 1.5157501334757075, + "grad_norm": 0.8671875, + "learning_rate": 0.0004972166340281331, + "loss": 7.0461, + "mean_token_accuracy": 0.10235923826694489, + "num_tokens": 3103439.0, + "step": 1420 + }, + { + "entropy": 7.26457109451294, + "epoch": 1.5210891617725575, + "grad_norm": 0.90234375, + "learning_rate": 0.0004971499503251083, + "loss": 7.1008, + "mean_token_accuracy": 0.10314854681491852, + "num_tokens": 3115007.0, + "step": 1425 + }, + { + "entropy": 7.262210988998413, + "epoch": 1.5264281900694074, + "grad_norm": 0.9296875, + "learning_rate": 0.0004970824823381976, + "loss": 7.0539, + "mean_token_accuracy": 0.10062195062637329, + "num_tokens": 3125632.0, + "step": 1430 + }, + { + "entropy": 7.242954254150391, + "epoch": 1.5317672183662574, + "grad_norm": 0.98828125, + "learning_rate": 0.000497014230305592, + "loss": 7.0316, + "mean_token_accuracy": 0.10418535098433494, + "num_tokens": 3135825.0, + "step": 1435 + }, + { + "entropy": 7.2584309577941895, + "epoch": 1.5371062466631074, + "grad_norm": 0.91796875, + "learning_rate": 0.0004969451944682501, + "loss": 7.0369, + "mean_token_accuracy": 0.10161466002464295, + "num_tokens": 3147689.0, + "step": 1440 + }, + { + "entropy": 7.136695671081543, + "epoch": 1.5424452749599573, + "grad_norm": 0.921875, + "learning_rate": 0.0004968753750698978, + "loss": 6.993, + "mean_token_accuracy": 0.10334522351622581, + "num_tokens": 3158754.0, + "step": 1445 + }, + { + "entropy": 7.298619794845581, + "epoch": 1.5477843032568073, + "grad_norm": 1.03125, + "learning_rate": 0.0004968047723570273, + "loss": 7.0495, + "mean_token_accuracy": 0.09448943957686425, + "num_tokens": 3169332.0, + "step": 1450 + }, + { + "entropy": 7.218168115615844, + "epoch": 1.5531233315536572, + "grad_norm": 0.9296875, + "learning_rate": 0.0004967333865788961, + "loss": 7.124, + "mean_token_accuracy": 0.10236010178923607, + "num_tokens": 3180761.0, + "step": 1455 + }, + { + "entropy": 7.4003571510314945, + "epoch": 1.5584623598505072, + "grad_norm": 0.9453125, + "learning_rate": 0.0004966612179875267, + "loss": 7.0762, + "mean_token_accuracy": 0.09902083575725555, + "num_tokens": 3191635.0, + "step": 1460 + }, + { + "entropy": 7.129079866409302, + "epoch": 1.5638013881473571, + "grad_norm": 0.89453125, + "learning_rate": 0.0004965882668377048, + "loss": 7.0424, + "mean_token_accuracy": 0.10169995054602624, + "num_tokens": 3202452.0, + "step": 1465 + }, + { + "entropy": 7.34759840965271, + "epoch": 1.569140416444207, + "grad_norm": 1.078125, + "learning_rate": 0.0004965145333869789, + "loss": 6.971, + "mean_token_accuracy": 0.10686884224414825, + "num_tokens": 3213298.0, + "step": 1470 + }, + { + "entropy": 7.113559675216675, + "epoch": 1.574479444741057, + "grad_norm": 0.94921875, + "learning_rate": 0.0004964400178956595, + "loss": 7.0056, + "mean_token_accuracy": 0.10754135549068451, + "num_tokens": 3224314.0, + "step": 1475 + }, + { + "entropy": 7.2728907585144045, + "epoch": 1.579818473037907, + "grad_norm": 0.89453125, + "learning_rate": 0.0004963647206268181, + "loss": 7.0051, + "mean_token_accuracy": 0.1074408732354641, + "num_tokens": 3235660.0, + "step": 1480 + }, + { + "entropy": 7.222253370285034, + "epoch": 1.585157501334757, + "grad_norm": 0.98046875, + "learning_rate": 0.000496288641846286, + "loss": 7.0763, + "mean_token_accuracy": 0.09584841802716255, + "num_tokens": 3246856.0, + "step": 1485 + }, + { + "entropy": 7.304793119430542, + "epoch": 1.590496529631607, + "grad_norm": 0.8515625, + "learning_rate": 0.0004962117818226538, + "loss": 7.1116, + "mean_token_accuracy": 0.10176649838685989, + "num_tokens": 3258692.0, + "step": 1490 + }, + { + "entropy": 7.17184624671936, + "epoch": 1.5958355579284569, + "grad_norm": 0.921875, + "learning_rate": 0.00049613414082727, + "loss": 7.0102, + "mean_token_accuracy": 0.10286101996898651, + "num_tokens": 3270577.0, + "step": 1495 + }, + { + "entropy": 7.200855493545532, + "epoch": 1.6011745862253068, + "grad_norm": 0.9921875, + "learning_rate": 0.0004960557191342405, + "loss": 6.9376, + "mean_token_accuracy": 0.10783654004335404, + "num_tokens": 3281262.0, + "step": 1500 + }, + { + "epoch": 1.6011745862253068, + "eval_entropy": 7.068539691281009, + "eval_loss": 7.1312689781188965, + "eval_mean_token_accuracy": 0.10161492010796225, + "eval_num_tokens": 3281262.0, + "eval_runtime": 1.8156, + "eval_samples_per_second": 1696.444, + "eval_steps_per_second": 212.055, + "step": 1500 + }, + { + "entropy": 7.21118049621582, + "epoch": 1.606513614522157, + "grad_norm": 0.83984375, + "learning_rate": 0.000495976517020427, + "loss": 6.9955, + "mean_token_accuracy": 0.10954990237951279, + "num_tokens": 3291552.0, + "step": 1505 + }, + { + "entropy": 7.275783395767212, + "epoch": 1.611852642819007, + "grad_norm": 0.92578125, + "learning_rate": 0.0004958965347654469, + "loss": 7.0386, + "mean_token_accuracy": 0.10242254436016082, + "num_tokens": 3301977.0, + "step": 1510 + }, + { + "entropy": 7.121581172943115, + "epoch": 1.617191671115857, + "grad_norm": 0.8828125, + "learning_rate": 0.0004958157726516715, + "loss": 6.9699, + "mean_token_accuracy": 0.10966179370880128, + "num_tokens": 3312783.0, + "step": 1515 + }, + { + "entropy": 7.285579776763916, + "epoch": 1.622530699412707, + "grad_norm": 0.8984375, + "learning_rate": 0.0004957342309642256, + "loss": 6.9964, + "mean_token_accuracy": 0.10571648105978966, + "num_tokens": 3323895.0, + "step": 1520 + }, + { + "entropy": 7.104770946502685, + "epoch": 1.6278697277095568, + "grad_norm": 0.9609375, + "learning_rate": 0.0004956519099909857, + "loss": 6.9295, + "mean_token_accuracy": 0.10804956257343293, + "num_tokens": 3334103.0, + "step": 1525 + }, + { + "entropy": 7.208183097839355, + "epoch": 1.6332087560064068, + "grad_norm": 0.85546875, + "learning_rate": 0.0004955688100225803, + "loss": 6.9827, + "mean_token_accuracy": 0.10653971955180168, + "num_tokens": 3346279.0, + "step": 1530 + }, + { + "entropy": 7.092655944824219, + "epoch": 1.6385477843032568, + "grad_norm": 0.91015625, + "learning_rate": 0.0004954849313523875, + "loss": 6.9509, + "mean_token_accuracy": 0.10072449594736099, + "num_tokens": 3357582.0, + "step": 1535 + }, + { + "entropy": 7.243341445922852, + "epoch": 1.643886812600107, + "grad_norm": 1.1015625, + "learning_rate": 0.0004954002742765347, + "loss": 6.9531, + "mean_token_accuracy": 0.10738401338458062, + "num_tokens": 3369297.0, + "step": 1540 + }, + { + "entropy": 7.092299699783325, + "epoch": 1.649225840896957, + "grad_norm": 0.84765625, + "learning_rate": 0.0004953148390938973, + "loss": 7.0684, + "mean_token_accuracy": 0.10321348384022713, + "num_tokens": 3382430.0, + "step": 1545 + }, + { + "entropy": 7.257068061828614, + "epoch": 1.6545648691938069, + "grad_norm": 0.87890625, + "learning_rate": 0.000495228626106098, + "loss": 7.0312, + "mean_token_accuracy": 0.11251498833298683, + "num_tokens": 3393809.0, + "step": 1550 + }, + { + "entropy": 7.158068895339966, + "epoch": 1.6599038974906568, + "grad_norm": 1.0390625, + "learning_rate": 0.0004951416356175053, + "loss": 7.0077, + "mean_token_accuracy": 0.10660256892442703, + "num_tokens": 3405164.0, + "step": 1555 + }, + { + "entropy": 7.227698040008545, + "epoch": 1.6652429257875068, + "grad_norm": 0.91796875, + "learning_rate": 0.0004950538679352327, + "loss": 7.0212, + "mean_token_accuracy": 0.09924901276826859, + "num_tokens": 3416091.0, + "step": 1560 + }, + { + "entropy": 7.283638668060303, + "epoch": 1.6705819540843567, + "grad_norm": 0.83203125, + "learning_rate": 0.0004949653233691373, + "loss": 7.0712, + "mean_token_accuracy": 0.10288623869419097, + "num_tokens": 3427675.0, + "step": 1565 + }, + { + "entropy": 7.135433340072632, + "epoch": 1.6759209823812067, + "grad_norm": 0.97265625, + "learning_rate": 0.0004948760022318194, + "loss": 6.9453, + "mean_token_accuracy": 0.11070238053798676, + "num_tokens": 3438119.0, + "step": 1570 + }, + { + "entropy": 7.199069452285767, + "epoch": 1.6812600106780566, + "grad_norm": 0.91796875, + "learning_rate": 0.0004947859048386205, + "loss": 6.9806, + "mean_token_accuracy": 0.10209845751523972, + "num_tokens": 3449151.0, + "step": 1575 + }, + { + "entropy": 7.132083177566528, + "epoch": 1.6865990389749066, + "grad_norm": 0.9609375, + "learning_rate": 0.0004946950315076225, + "loss": 6.8718, + "mean_token_accuracy": 0.10959059745073318, + "num_tokens": 3459697.0, + "step": 1580 + }, + { + "entropy": 7.093738555908203, + "epoch": 1.6919380672717566, + "grad_norm": 0.96484375, + "learning_rate": 0.0004946033825596474, + "loss": 6.9422, + "mean_token_accuracy": 0.10823669135570527, + "num_tokens": 3470409.0, + "step": 1585 + }, + { + "entropy": 7.1705444812774655, + "epoch": 1.6972770955686065, + "grad_norm": 0.94140625, + "learning_rate": 0.0004945109583182548, + "loss": 6.9651, + "mean_token_accuracy": 0.1007260449230671, + "num_tokens": 3481515.0, + "step": 1590 + }, + { + "entropy": 7.167929172515869, + "epoch": 1.7026161238654565, + "grad_norm": 0.9765625, + "learning_rate": 0.0004944177591097415, + "loss": 6.9069, + "mean_token_accuracy": 0.10608908087015152, + "num_tokens": 3492683.0, + "step": 1595 + }, + { + "entropy": 7.120382785797119, + "epoch": 1.7079551521623064, + "grad_norm": 0.99609375, + "learning_rate": 0.0004943237852631404, + "loss": 6.9469, + "mean_token_accuracy": 0.10530265048146248, + "num_tokens": 3503067.0, + "step": 1600 + }, + { + "entropy": 7.19160099029541, + "epoch": 1.7132941804591564, + "grad_norm": 0.92578125, + "learning_rate": 0.0004942290371102193, + "loss": 6.9651, + "mean_token_accuracy": 0.10647035390138626, + "num_tokens": 3513611.0, + "step": 1605 + }, + { + "entropy": 7.181960487365723, + "epoch": 1.7186332087560063, + "grad_norm": 0.95703125, + "learning_rate": 0.0004941335149854794, + "loss": 6.9617, + "mean_token_accuracy": 0.10861775949597359, + "num_tokens": 3523802.0, + "step": 1610 + }, + { + "entropy": 7.190891218185425, + "epoch": 1.7239722370528563, + "grad_norm": 0.9375, + "learning_rate": 0.0004940372192261546, + "loss": 6.9297, + "mean_token_accuracy": 0.10318318530917167, + "num_tokens": 3534764.0, + "step": 1615 + }, + { + "entropy": 7.121490812301635, + "epoch": 1.7293112653497063, + "grad_norm": 0.984375, + "learning_rate": 0.0004939401501722098, + "loss": 6.9932, + "mean_token_accuracy": 0.10756855309009553, + "num_tokens": 3544852.0, + "step": 1620 + }, + { + "entropy": 7.093603610992432, + "epoch": 1.7346502936465562, + "grad_norm": 0.875, + "learning_rate": 0.0004938423081663401, + "loss": 6.7933, + "mean_token_accuracy": 0.11004197001457214, + "num_tokens": 3555470.0, + "step": 1625 + }, + { + "entropy": 7.121168518066407, + "epoch": 1.7399893219434062, + "grad_norm": 1.03125, + "learning_rate": 0.0004937436935539695, + "loss": 6.9935, + "mean_token_accuracy": 0.10067067667841911, + "num_tokens": 3567497.0, + "step": 1630 + }, + { + "entropy": 7.194992160797119, + "epoch": 1.7453283502402561, + "grad_norm": 0.85546875, + "learning_rate": 0.0004936443066832494, + "loss": 6.9725, + "mean_token_accuracy": 0.10623072907328605, + "num_tokens": 3578354.0, + "step": 1635 + }, + { + "entropy": 7.0331216812133786, + "epoch": 1.7506673785371063, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935441479050579, + "loss": 6.8995, + "mean_token_accuracy": 0.11453714296221733, + "num_tokens": 3589369.0, + "step": 1640 + }, + { + "entropy": 7.2113524913787845, + "epoch": 1.7560064068339563, + "grad_norm": 0.828125, + "learning_rate": 0.0004934432175729981, + "loss": 6.9121, + "mean_token_accuracy": 0.10899419113993644, + "num_tokens": 3600396.0, + "step": 1645 + }, + { + "entropy": 7.116479682922363, + "epoch": 1.7613454351308062, + "grad_norm": 0.92578125, + "learning_rate": 0.000493341516043397, + "loss": 6.9588, + "mean_token_accuracy": 0.11054658442735672, + "num_tokens": 3610670.0, + "step": 1650 + }, + { + "entropy": 7.107414627075196, + "epoch": 1.7666844634276562, + "grad_norm": 0.95703125, + "learning_rate": 0.0004932390436753043, + "loss": 6.9206, + "mean_token_accuracy": 0.10563154965639114, + "num_tokens": 3620821.0, + "step": 1655 + }, + { + "entropy": 7.1294042587280275, + "epoch": 1.7720234917245061, + "grad_norm": 1.0234375, + "learning_rate": 0.0004931358008304911, + "loss": 6.8989, + "mean_token_accuracy": 0.11248534172773361, + "num_tokens": 3631469.0, + "step": 1660 + }, + { + "entropy": 7.078049898147583, + "epoch": 1.777362520021356, + "grad_norm": 0.9921875, + "learning_rate": 0.0004930317878734486, + "loss": 6.9114, + "mean_token_accuracy": 0.1081713691353798, + "num_tokens": 3641605.0, + "step": 1665 + }, + { + "entropy": 7.201143026351929, + "epoch": 1.782701548318206, + "grad_norm": 0.94140625, + "learning_rate": 0.0004929270051713866, + "loss": 6.9417, + "mean_token_accuracy": 0.1108034186065197, + "num_tokens": 3652107.0, + "step": 1670 + }, + { + "entropy": 7.0569343090057375, + "epoch": 1.7880405766150562, + "grad_norm": 0.87890625, + "learning_rate": 0.0004928214530942331, + "loss": 6.9729, + "mean_token_accuracy": 0.10586601719260216, + "num_tokens": 3663399.0, + "step": 1675 + }, + { + "entropy": 7.078392410278321, + "epoch": 1.7933796049119062, + "grad_norm": 0.90234375, + "learning_rate": 0.0004927151320146313, + "loss": 6.951, + "mean_token_accuracy": 0.10743931010365486, + "num_tokens": 3673638.0, + "step": 1680 + }, + { + "entropy": 7.162407350540161, + "epoch": 1.7987186332087561, + "grad_norm": 0.9296875, + "learning_rate": 0.0004926080423079404, + "loss": 6.9121, + "mean_token_accuracy": 0.10548929050564766, + "num_tokens": 3684459.0, + "step": 1685 + }, + { + "entropy": 7.04658784866333, + "epoch": 1.804057661505606, + "grad_norm": 0.84375, + "learning_rate": 0.0004925001843522323, + "loss": 6.9414, + "mean_token_accuracy": 0.10741329342126846, + "num_tokens": 3696113.0, + "step": 1690 + }, + { + "entropy": 7.169419765472412, + "epoch": 1.809396689802456, + "grad_norm": 0.83984375, + "learning_rate": 0.0004923915585282916, + "loss": 6.9062, + "mean_token_accuracy": 0.10803867951035499, + "num_tokens": 3707345.0, + "step": 1695 + }, + { + "entropy": 7.098963403701783, + "epoch": 1.814735718099306, + "grad_norm": 0.9765625, + "learning_rate": 0.0004922821652196136, + "loss": 6.744, + "mean_token_accuracy": 0.11550131812691689, + "num_tokens": 3717573.0, + "step": 1700 + }, + { + "entropy": 7.035619926452637, + "epoch": 1.820074746396156, + "grad_norm": 0.93359375, + "learning_rate": 0.0004921720048124034, + "loss": 6.9383, + "mean_token_accuracy": 0.11059200093150139, + "num_tokens": 3726658.0, + "step": 1705 + }, + { + "entropy": 7.158073139190674, + "epoch": 1.825413774693006, + "grad_norm": 0.87890625, + "learning_rate": 0.0004920610776955742, + "loss": 6.9495, + "mean_token_accuracy": 0.11338067129254341, + "num_tokens": 3737769.0, + "step": 1710 + }, + { + "entropy": 7.071769857406617, + "epoch": 1.8307528029898559, + "grad_norm": 0.8984375, + "learning_rate": 0.0004919493842607456, + "loss": 6.8737, + "mean_token_accuracy": 0.11217370927333832, + "num_tokens": 3748608.0, + "step": 1715 + }, + { + "entropy": 7.165196466445923, + "epoch": 1.8360918312867058, + "grad_norm": 0.9765625, + "learning_rate": 0.0004918369249022433, + "loss": 6.9148, + "mean_token_accuracy": 0.11021506115794182, + "num_tokens": 3759063.0, + "step": 1720 + }, + { + "entropy": 7.131874465942383, + "epoch": 1.8414308595835558, + "grad_norm": 0.921875, + "learning_rate": 0.0004917237000170966, + "loss": 6.8688, + "mean_token_accuracy": 0.10861963406205177, + "num_tokens": 3769622.0, + "step": 1725 + }, + { + "entropy": 7.098778629302979, + "epoch": 1.8467698878804057, + "grad_norm": 0.96875, + "learning_rate": 0.0004916097100050375, + "loss": 6.8727, + "mean_token_accuracy": 0.11213916838169098, + "num_tokens": 3780587.0, + "step": 1730 + }, + { + "entropy": 7.07066969871521, + "epoch": 1.8521089161772557, + "grad_norm": 0.9453125, + "learning_rate": 0.0004914949552684992, + "loss": 6.9236, + "mean_token_accuracy": 0.11197843477129936, + "num_tokens": 3792386.0, + "step": 1735 + }, + { + "entropy": 7.145204401016235, + "epoch": 1.8574479444741057, + "grad_norm": 0.91015625, + "learning_rate": 0.000491379436212615, + "loss": 6.9396, + "mean_token_accuracy": 0.11039775982499123, + "num_tokens": 3803820.0, + "step": 1740 + }, + { + "entropy": 7.06385440826416, + "epoch": 1.8627869727709556, + "grad_norm": 0.8515625, + "learning_rate": 0.000491263153245216, + "loss": 6.8982, + "mean_token_accuracy": 0.1090501606464386, + "num_tokens": 3815187.0, + "step": 1745 + }, + { + "entropy": 7.122003555297852, + "epoch": 1.8681260010678056, + "grad_norm": 0.86328125, + "learning_rate": 0.0004911461067768309, + "loss": 6.9121, + "mean_token_accuracy": 0.10848403200507165, + "num_tokens": 3826933.0, + "step": 1750 + }, + { + "entropy": 7.051048755645752, + "epoch": 1.8734650293646555, + "grad_norm": 0.921875, + "learning_rate": 0.0004910282972206834, + "loss": 6.7997, + "mean_token_accuracy": 0.11381994634866714, + "num_tokens": 3836934.0, + "step": 1755 + }, + { + "entropy": 7.05472617149353, + "epoch": 1.8788040576615055, + "grad_norm": 0.99609375, + "learning_rate": 0.0004909097249926913, + "loss": 6.9048, + "mean_token_accuracy": 0.10961363092064857, + "num_tokens": 3848662.0, + "step": 1760 + }, + { + "entropy": 7.01745228767395, + "epoch": 1.8841430859583554, + "grad_norm": 0.95703125, + "learning_rate": 0.0004907903905114652, + "loss": 6.7385, + "mean_token_accuracy": 0.1175423063337803, + "num_tokens": 3860052.0, + "step": 1765 + }, + { + "entropy": 7.047714710235596, + "epoch": 1.8894821142552054, + "grad_norm": 0.890625, + "learning_rate": 0.0004906702941983066, + "loss": 6.8871, + "mean_token_accuracy": 0.10923791378736496, + "num_tokens": 3871867.0, + "step": 1770 + }, + { + "entropy": 7.121882438659668, + "epoch": 1.8948211425520554, + "grad_norm": 0.9453125, + "learning_rate": 0.0004905494364772065, + "loss": 6.9453, + "mean_token_accuracy": 0.1086169384419918, + "num_tokens": 3883612.0, + "step": 1775 + }, + { + "entropy": 7.0241187572479244, + "epoch": 1.9001601708489055, + "grad_norm": 0.94140625, + "learning_rate": 0.0004904278177748441, + "loss": 6.868, + "mean_token_accuracy": 0.10942395329475403, + "num_tokens": 3895520.0, + "step": 1780 + }, + { + "entropy": 7.096190881729126, + "epoch": 1.9054991991457555, + "grad_norm": 1.0234375, + "learning_rate": 0.0004903054385205854, + "loss": 6.8573, + "mean_token_accuracy": 0.10636932700872422, + "num_tokens": 3905898.0, + "step": 1785 + }, + { + "entropy": 7.115457010269165, + "epoch": 1.9108382274426055, + "grad_norm": 0.89453125, + "learning_rate": 0.0004901822991464811, + "loss": 6.9076, + "mean_token_accuracy": 0.10664125084877014, + "num_tokens": 3916339.0, + "step": 1790 + }, + { + "entropy": 7.09182596206665, + "epoch": 1.9161772557394554, + "grad_norm": 0.92578125, + "learning_rate": 0.0004900584000872655, + "loss": 6.8633, + "mean_token_accuracy": 0.11126209571957588, + "num_tokens": 3927131.0, + "step": 1795 + }, + { + "entropy": 6.981594228744507, + "epoch": 1.9215162840363054, + "grad_norm": 0.96484375, + "learning_rate": 0.0004899337417803551, + "loss": 6.8705, + "mean_token_accuracy": 0.11410257518291474, + "num_tokens": 3938415.0, + "step": 1800 + }, + { + "entropy": 7.157159852981567, + "epoch": 1.9268553123331553, + "grad_norm": 0.9375, + "learning_rate": 0.000489808324665847, + "loss": 6.8829, + "mean_token_accuracy": 0.11425913646817207, + "num_tokens": 3949700.0, + "step": 1805 + }, + { + "entropy": 7.0690977573394775, + "epoch": 1.9321943406300055, + "grad_norm": 0.92578125, + "learning_rate": 0.0004896821491865167, + "loss": 6.9192, + "mean_token_accuracy": 0.10939718559384345, + "num_tokens": 3961879.0, + "step": 1810 + }, + { + "entropy": 7.1183741092681885, + "epoch": 1.9375333689268555, + "grad_norm": 0.8984375, + "learning_rate": 0.0004895552157878174, + "loss": 6.8921, + "mean_token_accuracy": 0.1135055162012577, + "num_tokens": 3972903.0, + "step": 1815 + }, + { + "entropy": 7.02628173828125, + "epoch": 1.9428723972237054, + "grad_norm": 0.90625, + "learning_rate": 0.0004894275249178782, + "loss": 6.8852, + "mean_token_accuracy": 0.11946139633655548, + "num_tokens": 3984432.0, + "step": 1820 + }, + { + "entropy": 7.089619779586792, + "epoch": 1.9482114255205554, + "grad_norm": 0.94921875, + "learning_rate": 0.0004892990770275021, + "loss": 6.9504, + "mean_token_accuracy": 0.10337705612182617, + "num_tokens": 3996998.0, + "step": 1825 + }, + { + "entropy": 7.125215005874634, + "epoch": 1.9535504538174053, + "grad_norm": 0.89453125, + "learning_rate": 0.0004891698725701648, + "loss": 6.8477, + "mean_token_accuracy": 0.11870014742016792, + "num_tokens": 4007614.0, + "step": 1830 + }, + { + "entropy": 7.0385946273803714, + "epoch": 1.9588894821142553, + "grad_norm": 1.015625, + "learning_rate": 0.0004890399120020131, + "loss": 6.8262, + "mean_token_accuracy": 0.10775638073682785, + "num_tokens": 4017645.0, + "step": 1835 + }, + { + "entropy": 7.1667829036712645, + "epoch": 1.9642285104111052, + "grad_norm": 0.9453125, + "learning_rate": 0.0004889091957818631, + "loss": 6.9244, + "mean_token_accuracy": 0.10332238003611564, + "num_tokens": 4029353.0, + "step": 1840 + }, + { + "entropy": 7.053739356994629, + "epoch": 1.9695675387079552, + "grad_norm": 0.87109375, + "learning_rate": 0.0004887777243711988, + "loss": 6.8718, + "mean_token_accuracy": 0.11049497202038765, + "num_tokens": 4040421.0, + "step": 1845 + }, + { + "entropy": 7.0194093704223635, + "epoch": 1.9749065670048052, + "grad_norm": 1.015625, + "learning_rate": 0.00048864549823417, + "loss": 6.8325, + "mean_token_accuracy": 0.1106531098484993, + "num_tokens": 4051858.0, + "step": 1850 + }, + { + "entropy": 7.106148815155029, + "epoch": 1.9802455953016551, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885125178375915, + "loss": 6.8803, + "mean_token_accuracy": 0.1077659197151661, + "num_tokens": 4062063.0, + "step": 1855 + }, + { + "entropy": 7.0133593559265135, + "epoch": 1.985584623598505, + "grad_norm": 0.8984375, + "learning_rate": 0.0004883787836509405, + "loss": 6.6985, + "mean_token_accuracy": 0.11615452989935875, + "num_tokens": 4072479.0, + "step": 1860 + }, + { + "entropy": 7.0427937507629395, + "epoch": 1.990923651895355, + "grad_norm": 0.9453125, + "learning_rate": 0.0004882442961463558, + "loss": 6.8677, + "mean_token_accuracy": 0.11139330714941025, + "num_tokens": 4082912.0, + "step": 1865 + }, + { + "entropy": 7.077240419387818, + "epoch": 1.996262680192205, + "grad_norm": 0.91015625, + "learning_rate": 0.0004881090557986353, + "loss": 6.8434, + "mean_token_accuracy": 0.11269779428839684, + "num_tokens": 4093644.0, + "step": 1870 + }, + { + "entropy": 6.915128972795275, + "epoch": 2.00106780565937, + "grad_norm": 0.9375, + "learning_rate": 0.0004879730630852353, + "loss": 6.7595, + "mean_token_accuracy": 0.11212469720178181, + "num_tokens": 4104114.0, + "step": 1875 + }, + { + "entropy": 7.109417867660523, + "epoch": 2.0064068339562198, + "grad_norm": 0.90234375, + "learning_rate": 0.00048783631848626764, + "loss": 6.6362, + "mean_token_accuracy": 0.1157489076256752, + "num_tokens": 4114847.0, + "step": 1880 + }, + { + "entropy": 6.914434337615967, + "epoch": 2.0117458622530697, + "grad_norm": 1.0234375, + "learning_rate": 0.0004876988224844992, + "loss": 6.4861, + "mean_token_accuracy": 0.12341470643877983, + "num_tokens": 4126078.0, + "step": 1885 + }, + { + "entropy": 7.015130233764649, + "epoch": 2.01708489054992, + "grad_norm": 0.88671875, + "learning_rate": 0.00048756057556534934, + "loss": 6.5112, + "mean_token_accuracy": 0.12700850293040275, + "num_tokens": 4136678.0, + "step": 1890 + }, + { + "entropy": 6.966462326049805, + "epoch": 2.02242391884677, + "grad_norm": 0.90234375, + "learning_rate": 0.0004874215782168884, + "loss": 6.5355, + "mean_token_accuracy": 0.1265234611928463, + "num_tokens": 4146794.0, + "step": 1895 + }, + { + "entropy": 7.0654607772827145, + "epoch": 2.02776294714362, + "grad_norm": 0.8984375, + "learning_rate": 0.0004872818309298365, + "loss": 6.571, + "mean_token_accuracy": 0.12405075505375862, + "num_tokens": 4156825.0, + "step": 1900 + }, + { + "entropy": 6.920158243179321, + "epoch": 2.03310197544047, + "grad_norm": 0.9140625, + "learning_rate": 0.00048714133419756065, + "loss": 6.5027, + "mean_token_accuracy": 0.11929825246334076, + "num_tokens": 4166765.0, + "step": 1905 + }, + { + "entropy": 7.046618700027466, + "epoch": 2.03844100373732, + "grad_norm": 0.98046875, + "learning_rate": 0.00048700008851607437, + "loss": 6.6338, + "mean_token_accuracy": 0.12172048911452293, + "num_tokens": 4177404.0, + "step": 1910 + }, + { + "entropy": 7.052170658111573, + "epoch": 2.04378003203417, + "grad_norm": 0.78125, + "learning_rate": 0.00048685809438403494, + "loss": 6.5971, + "mean_token_accuracy": 0.12037592306733132, + "num_tokens": 4188804.0, + "step": 1915 + }, + { + "entropy": 6.9027196884155275, + "epoch": 2.04911906033102, + "grad_norm": 0.9375, + "learning_rate": 0.0004867153523027422, + "loss": 6.4989, + "mean_token_accuracy": 0.1245061419904232, + "num_tokens": 4200009.0, + "step": 1920 + }, + { + "entropy": 7.009029340744019, + "epoch": 2.05445808862787, + "grad_norm": 0.92578125, + "learning_rate": 0.0004865718627761363, + "loss": 6.5549, + "mean_token_accuracy": 0.12319564968347549, + "num_tokens": 4210776.0, + "step": 1925 + }, + { + "entropy": 6.948365020751953, + "epoch": 2.05979711692472, + "grad_norm": 0.99609375, + "learning_rate": 0.00048642762631079646, + "loss": 6.5094, + "mean_token_accuracy": 0.13088932484388352, + "num_tokens": 4221412.0, + "step": 1930 + }, + { + "entropy": 6.867213582992553, + "epoch": 2.0651361452215697, + "grad_norm": 0.90234375, + "learning_rate": 0.0004862826434159388, + "loss": 6.5012, + "mean_token_accuracy": 0.12945465818047525, + "num_tokens": 4231747.0, + "step": 1935 + }, + { + "entropy": 6.948292064666748, + "epoch": 2.0704751735184197, + "grad_norm": 1.0, + "learning_rate": 0.00048613691460341456, + "loss": 6.5181, + "mean_token_accuracy": 0.12791630178689956, + "num_tokens": 4241942.0, + "step": 1940 + }, + { + "entropy": 6.955828285217285, + "epoch": 2.0758142018152697, + "grad_norm": 0.82421875, + "learning_rate": 0.00048599044038770856, + "loss": 6.6039, + "mean_token_accuracy": 0.12196211889386177, + "num_tokens": 4253151.0, + "step": 1945 + }, + { + "entropy": 6.93486852645874, + "epoch": 2.0811532301121196, + "grad_norm": 0.9453125, + "learning_rate": 0.0004858432212859372, + "loss": 6.5329, + "mean_token_accuracy": 0.12614453956484795, + "num_tokens": 4263579.0, + "step": 1950 + }, + { + "entropy": 6.9105040550231935, + "epoch": 2.0864922584089696, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856952578178464, + "loss": 6.5513, + "mean_token_accuracy": 0.12219369858503341, + "num_tokens": 4274764.0, + "step": 1955 + }, + { + "entropy": 7.026956415176391, + "epoch": 2.0918312867058195, + "grad_norm": 0.95703125, + "learning_rate": 0.0004855465505058102, + "loss": 6.6513, + "mean_token_accuracy": 0.11608931571245193, + "num_tokens": 4286561.0, + "step": 1960 + }, + { + "entropy": 6.919632291793823, + "epoch": 2.0971703150026695, + "grad_norm": 1.1015625, + "learning_rate": 0.0004853970998748289, + "loss": 6.603, + "mean_token_accuracy": 0.1245616041123867, + "num_tokens": 4296101.0, + "step": 1965 + }, + { + "entropy": 6.937914419174194, + "epoch": 2.1025093432995194, + "grad_norm": 1.03125, + "learning_rate": 0.00048524690645252675, + "loss": 6.5519, + "mean_token_accuracy": 0.11856919229030609, + "num_tokens": 4307613.0, + "step": 1970 + }, + { + "entropy": 6.950258350372314, + "epoch": 2.1078483715963694, + "grad_norm": 0.92578125, + "learning_rate": 0.0004850959707691503, + "loss": 6.597, + "mean_token_accuracy": 0.12681118920445442, + "num_tokens": 4318042.0, + "step": 1975 + }, + { + "entropy": 6.949284172058105, + "epoch": 2.1131873998932194, + "grad_norm": 0.91015625, + "learning_rate": 0.000484944293357567, + "loss": 6.4691, + "mean_token_accuracy": 0.12812729254364968, + "num_tokens": 4328690.0, + "step": 1980 + }, + { + "entropy": 6.885101842880249, + "epoch": 2.1185264281900693, + "grad_norm": 1.0625, + "learning_rate": 0.00048479187475326254, + "loss": 6.5129, + "mean_token_accuracy": 0.1259954057633877, + "num_tokens": 4339188.0, + "step": 1985 + }, + { + "entropy": 6.827868366241455, + "epoch": 2.1238654564869193, + "grad_norm": 0.90625, + "learning_rate": 0.00048463871549433947, + "loss": 6.4728, + "mean_token_accuracy": 0.1304394595324993, + "num_tokens": 4350242.0, + "step": 1990 + }, + { + "entropy": 6.834375524520874, + "epoch": 2.1292044847837692, + "grad_norm": 0.8359375, + "learning_rate": 0.00048448481612151524, + "loss": 6.466, + "mean_token_accuracy": 0.13104819133877754, + "num_tokens": 4361138.0, + "step": 1995 + }, + { + "entropy": 6.958746910095215, + "epoch": 2.134543513080619, + "grad_norm": 0.99609375, + "learning_rate": 0.00048433017717812015, + "loss": 6.5523, + "mean_token_accuracy": 0.1202632024884224, + "num_tokens": 4372157.0, + "step": 2000 + }, + { + "epoch": 2.134543513080619, + "eval_entropy": 6.773753176107035, + "eval_loss": 6.934739112854004, + "eval_mean_token_accuracy": 0.11093968841936681, + "eval_num_tokens": 4372157.0, + "eval_runtime": 1.8151, + "eval_samples_per_second": 1696.873, + "eval_steps_per_second": 212.109, + "step": 2000 + }, + { + "entropy": 6.880448961257935, + "epoch": 2.139882541377469, + "grad_norm": 0.88671875, + "learning_rate": 0.0004841747992100954, + "loss": 6.5359, + "mean_token_accuracy": 0.12958219572901725, + "num_tokens": 4382735.0, + "step": 2005 + }, + { + "entropy": 6.900627279281617, + "epoch": 2.145221569674319, + "grad_norm": 0.984375, + "learning_rate": 0.00048401868276599144, + "loss": 6.5906, + "mean_token_accuracy": 0.11768823489546776, + "num_tokens": 4393839.0, + "step": 2010 + }, + { + "entropy": 6.905943441390991, + "epoch": 2.150560597971169, + "grad_norm": 1.0, + "learning_rate": 0.00048386182839696575, + "loss": 6.5689, + "mean_token_accuracy": 0.12359676659107208, + "num_tokens": 4404612.0, + "step": 2015 + }, + { + "entropy": 6.915348386764526, + "epoch": 2.1558996262680195, + "grad_norm": 0.8984375, + "learning_rate": 0.0004837042366567809, + "loss": 6.5583, + "mean_token_accuracy": 0.12159886509180069, + "num_tokens": 4415969.0, + "step": 2020 + }, + { + "entropy": 6.947312211990356, + "epoch": 2.161238654564869, + "grad_norm": 0.9453125, + "learning_rate": 0.00048354590810180306, + "loss": 6.6298, + "mean_token_accuracy": 0.12084809169173241, + "num_tokens": 4427507.0, + "step": 2025 + }, + { + "entropy": 6.882000398635864, + "epoch": 2.1665776828617194, + "grad_norm": 0.93359375, + "learning_rate": 0.0004833868432909992, + "loss": 6.5736, + "mean_token_accuracy": 0.12455990388989449, + "num_tokens": 4438425.0, + "step": 2030 + }, + { + "entropy": 6.8933765411376955, + "epoch": 2.1719167111585693, + "grad_norm": 1.1015625, + "learning_rate": 0.00048322704278593595, + "loss": 6.5373, + "mean_token_accuracy": 0.1295296534895897, + "num_tokens": 4448301.0, + "step": 2035 + }, + { + "entropy": 6.85424017906189, + "epoch": 2.1772557394554193, + "grad_norm": 0.88671875, + "learning_rate": 0.00048306650715077703, + "loss": 6.5551, + "mean_token_accuracy": 0.12878405377268792, + "num_tokens": 4459214.0, + "step": 2040 + }, + { + "entropy": 6.8902589797973635, + "epoch": 2.1825947677522692, + "grad_norm": 1.03125, + "learning_rate": 0.00048290523695228163, + "loss": 6.542, + "mean_token_accuracy": 0.1292489416897297, + "num_tokens": 4469696.0, + "step": 2045 + }, + { + "entropy": 6.856093168258667, + "epoch": 2.187933796049119, + "grad_norm": 0.9375, + "learning_rate": 0.0004827432327598021, + "loss": 6.5611, + "mean_token_accuracy": 0.12441405653953552, + "num_tokens": 4481020.0, + "step": 2050 + }, + { + "entropy": 6.89211859703064, + "epoch": 2.193272824345969, + "grad_norm": 0.8671875, + "learning_rate": 0.0004825804951452823, + "loss": 6.5913, + "mean_token_accuracy": 0.115212332457304, + "num_tokens": 4492877.0, + "step": 2055 + }, + { + "entropy": 6.875864267349243, + "epoch": 2.198611852642819, + "grad_norm": 0.953125, + "learning_rate": 0.0004824170246832553, + "loss": 6.5649, + "mean_token_accuracy": 0.12695193216204642, + "num_tokens": 4504184.0, + "step": 2060 + }, + { + "entropy": 6.8207022190094, + "epoch": 2.203950880939669, + "grad_norm": 0.94140625, + "learning_rate": 0.0004822528219508413, + "loss": 6.531, + "mean_token_accuracy": 0.12651038020849228, + "num_tokens": 4514807.0, + "step": 2065 + }, + { + "entropy": 6.828022575378418, + "epoch": 2.209289909236519, + "grad_norm": 0.98828125, + "learning_rate": 0.00048208788752774587, + "loss": 6.5443, + "mean_token_accuracy": 0.12110874876379966, + "num_tokens": 4526047.0, + "step": 2070 + }, + { + "entropy": 6.911036157608033, + "epoch": 2.214628937533369, + "grad_norm": 1.015625, + "learning_rate": 0.00048192222199625783, + "loss": 6.4733, + "mean_token_accuracy": 0.13001587241888046, + "num_tokens": 4536506.0, + "step": 2075 + }, + { + "entropy": 6.8622376918792725, + "epoch": 2.219967965830219, + "grad_norm": 0.953125, + "learning_rate": 0.0004817558259412469, + "loss": 6.6217, + "mean_token_accuracy": 0.12201437205076218, + "num_tokens": 4547351.0, + "step": 2080 + }, + { + "entropy": 6.931761169433594, + "epoch": 2.225306994127069, + "grad_norm": 0.8515625, + "learning_rate": 0.0004815886999501621, + "loss": 6.5862, + "mean_token_accuracy": 0.11850906684994697, + "num_tokens": 4558213.0, + "step": 2085 + }, + { + "entropy": 6.9577799320220945, + "epoch": 2.230646022423919, + "grad_norm": 1.0625, + "learning_rate": 0.0004814208446130292, + "loss": 6.5277, + "mean_token_accuracy": 0.12626541927456855, + "num_tokens": 4567943.0, + "step": 2090 + }, + { + "entropy": 6.7742188453674315, + "epoch": 2.235985050720769, + "grad_norm": 0.9765625, + "learning_rate": 0.00048125226052244904, + "loss": 6.577, + "mean_token_accuracy": 0.12711381241679193, + "num_tokens": 4580000.0, + "step": 2095 + }, + { + "entropy": 6.921990203857422, + "epoch": 2.2413240790176188, + "grad_norm": 0.86328125, + "learning_rate": 0.0004810829482735952, + "loss": 6.5967, + "mean_token_accuracy": 0.12330932468175888, + "num_tokens": 4592160.0, + "step": 2100 + }, + { + "entropy": 6.837577629089355, + "epoch": 2.2466631073144687, + "grad_norm": 0.8046875, + "learning_rate": 0.0004809129084642121, + "loss": 6.5491, + "mean_token_accuracy": 0.1259201429784298, + "num_tokens": 4603747.0, + "step": 2105 + }, + { + "entropy": 6.867647123336792, + "epoch": 2.2520021356113187, + "grad_norm": 0.890625, + "learning_rate": 0.0004807421416946125, + "loss": 6.5647, + "mean_token_accuracy": 0.126456468552351, + "num_tokens": 4615660.0, + "step": 2110 + }, + { + "entropy": 6.81969141960144, + "epoch": 2.2573411639081686, + "grad_norm": 0.93359375, + "learning_rate": 0.0004805706485676759, + "loss": 6.575, + "mean_token_accuracy": 0.12571234479546547, + "num_tokens": 4626408.0, + "step": 2115 + }, + { + "entropy": 6.942286539077759, + "epoch": 2.2626801922050186, + "grad_norm": 0.9296875, + "learning_rate": 0.0004803984296888459, + "loss": 6.5099, + "mean_token_accuracy": 0.12510694563388824, + "num_tokens": 4638236.0, + "step": 2120 + }, + { + "entropy": 6.795414113998413, + "epoch": 2.2680192205018685, + "grad_norm": 0.93359375, + "learning_rate": 0.00048022548566612855, + "loss": 6.5967, + "mean_token_accuracy": 0.12317438274621964, + "num_tokens": 4649649.0, + "step": 2125 + }, + { + "entropy": 6.934534072875977, + "epoch": 2.2733582487987185, + "grad_norm": 0.97265625, + "learning_rate": 0.0004800518171100899, + "loss": 6.5907, + "mean_token_accuracy": 0.12582072243094444, + "num_tokens": 4660502.0, + "step": 2130 + }, + { + "entropy": 6.865882444381714, + "epoch": 2.2786972770955685, + "grad_norm": 0.8984375, + "learning_rate": 0.0004798774246338538, + "loss": 6.5365, + "mean_token_accuracy": 0.125477909296751, + "num_tokens": 4671486.0, + "step": 2135 + }, + { + "entropy": 6.848501825332642, + "epoch": 2.2840363053924184, + "grad_norm": 1.015625, + "learning_rate": 0.0004797023088530999, + "loss": 6.5941, + "mean_token_accuracy": 0.125645562261343, + "num_tokens": 4681436.0, + "step": 2140 + }, + { + "entropy": 6.98210334777832, + "epoch": 2.2893753336892684, + "grad_norm": 1.0625, + "learning_rate": 0.00047952647038606157, + "loss": 6.5881, + "mean_token_accuracy": 0.1284101627767086, + "num_tokens": 4692065.0, + "step": 2145 + }, + { + "entropy": 6.836091232299805, + "epoch": 2.2947143619861183, + "grad_norm": 1.03125, + "learning_rate": 0.0004793499098535233, + "loss": 6.5034, + "mean_token_accuracy": 0.1249152347445488, + "num_tokens": 4702107.0, + "step": 2150 + }, + { + "entropy": 6.831265258789062, + "epoch": 2.3000533902829687, + "grad_norm": 0.90625, + "learning_rate": 0.0004791726278788191, + "loss": 6.6077, + "mean_token_accuracy": 0.12131517902016639, + "num_tokens": 4712060.0, + "step": 2155 + }, + { + "entropy": 6.904486179351807, + "epoch": 2.3053924185798182, + "grad_norm": 1.0078125, + "learning_rate": 0.0004789946250878296, + "loss": 6.5162, + "mean_token_accuracy": 0.13010889962315558, + "num_tokens": 4721805.0, + "step": 2160 + }, + { + "entropy": 6.740131425857544, + "epoch": 2.3107314468766686, + "grad_norm": 0.91015625, + "learning_rate": 0.0004788159021089805, + "loss": 6.5035, + "mean_token_accuracy": 0.1257294774055481, + "num_tokens": 4733630.0, + "step": 2165 + }, + { + "entropy": 6.8522107124328615, + "epoch": 2.3160704751735186, + "grad_norm": 0.9453125, + "learning_rate": 0.0004786364595732401, + "loss": 6.5728, + "mean_token_accuracy": 0.12956593036651612, + "num_tokens": 4743634.0, + "step": 2170 + }, + { + "entropy": 6.872754287719727, + "epoch": 2.3214095034703686, + "grad_norm": 0.82421875, + "learning_rate": 0.0004784562981141168, + "loss": 6.5247, + "mean_token_accuracy": 0.12224958017468453, + "num_tokens": 4754815.0, + "step": 2175 + }, + { + "entropy": 6.810030364990235, + "epoch": 2.3267485317672185, + "grad_norm": 1.0, + "learning_rate": 0.0004782754183676573, + "loss": 6.5851, + "mean_token_accuracy": 0.12206983789801598, + "num_tokens": 4765657.0, + "step": 2180 + }, + { + "entropy": 6.9540458679199215, + "epoch": 2.3320875600640685, + "grad_norm": 0.87109375, + "learning_rate": 0.00047809382097244407, + "loss": 6.6016, + "mean_token_accuracy": 0.12477592378854752, + "num_tokens": 4777436.0, + "step": 2185 + }, + { + "entropy": 6.874520349502563, + "epoch": 2.3374265883609184, + "grad_norm": 0.890625, + "learning_rate": 0.00047791150656959326, + "loss": 6.587, + "mean_token_accuracy": 0.12307127118110657, + "num_tokens": 4788149.0, + "step": 2190 + }, + { + "entropy": 6.784716367721558, + "epoch": 2.3427656166577684, + "grad_norm": 1.0703125, + "learning_rate": 0.00047772847580275225, + "loss": 6.5332, + "mean_token_accuracy": 0.12545752599835397, + "num_tokens": 4799512.0, + "step": 2195 + }, + { + "entropy": 6.875580453872681, + "epoch": 2.3481046449546183, + "grad_norm": 0.93359375, + "learning_rate": 0.0004775447293180976, + "loss": 6.5423, + "mean_token_accuracy": 0.12484646216034889, + "num_tokens": 4810410.0, + "step": 2200 + }, + { + "entropy": 6.906468296051026, + "epoch": 2.3534436732514683, + "grad_norm": 0.8828125, + "learning_rate": 0.00047736026776433254, + "loss": 6.6885, + "mean_token_accuracy": 0.11681632474064826, + "num_tokens": 4822247.0, + "step": 2205 + }, + { + "entropy": 6.934691524505615, + "epoch": 2.3587827015483183, + "grad_norm": 0.95703125, + "learning_rate": 0.00047717509179268504, + "loss": 6.555, + "mean_token_accuracy": 0.1287574701011181, + "num_tokens": 4833550.0, + "step": 2210 + }, + { + "entropy": 6.831350469589234, + "epoch": 2.364121729845168, + "grad_norm": 0.8515625, + "learning_rate": 0.00047698920205690494, + "loss": 6.5855, + "mean_token_accuracy": 0.12659201845526696, + "num_tokens": 4845095.0, + "step": 2215 + }, + { + "entropy": 6.821032953262329, + "epoch": 2.369460758142018, + "grad_norm": 0.91796875, + "learning_rate": 0.00047680259921326225, + "loss": 6.504, + "mean_token_accuracy": 0.12526951134204864, + "num_tokens": 4856641.0, + "step": 2220 + }, + { + "entropy": 6.866345167160034, + "epoch": 2.374799786438868, + "grad_norm": 0.84765625, + "learning_rate": 0.0004766152839205443, + "loss": 6.5542, + "mean_token_accuracy": 0.12299052476882935, + "num_tokens": 4868274.0, + "step": 2225 + }, + { + "entropy": 6.865297317504883, + "epoch": 2.380138814735718, + "grad_norm": 0.984375, + "learning_rate": 0.000476427256840054, + "loss": 6.5413, + "mean_token_accuracy": 0.12318603098392486, + "num_tokens": 4878308.0, + "step": 2230 + }, + { + "entropy": 6.845654821395874, + "epoch": 2.385477843032568, + "grad_norm": 0.98828125, + "learning_rate": 0.0004762385186356068, + "loss": 6.5951, + "mean_token_accuracy": 0.12697439640760422, + "num_tokens": 4888811.0, + "step": 2235 + }, + { + "entropy": 6.8985631465911865, + "epoch": 2.390816871329418, + "grad_norm": 0.93359375, + "learning_rate": 0.0004760490699735289, + "loss": 6.5085, + "mean_token_accuracy": 0.13273092210292817, + "num_tokens": 4898719.0, + "step": 2240 + }, + { + "entropy": 6.801689481735229, + "epoch": 2.396155899626268, + "grad_norm": 0.92578125, + "learning_rate": 0.0004758589115226549, + "loss": 6.5474, + "mean_token_accuracy": 0.12448980137705803, + "num_tokens": 4909480.0, + "step": 2245 + }, + { + "entropy": 6.8546003818511965, + "epoch": 2.401494927923118, + "grad_norm": 0.94140625, + "learning_rate": 0.00047566804395432493, + "loss": 6.5932, + "mean_token_accuracy": 0.1219810850918293, + "num_tokens": 4920560.0, + "step": 2250 + }, + { + "entropy": 6.816539764404297, + "epoch": 2.406833956219968, + "grad_norm": 0.9140625, + "learning_rate": 0.00047547646794238277, + "loss": 6.4552, + "mean_token_accuracy": 0.12189477160573006, + "num_tokens": 4931499.0, + "step": 2255 + }, + { + "entropy": 6.754684591293335, + "epoch": 2.412172984516818, + "grad_norm": 1.0234375, + "learning_rate": 0.00047528418416317334, + "loss": 6.5083, + "mean_token_accuracy": 0.13347715884447098, + "num_tokens": 4942133.0, + "step": 2260 + }, + { + "entropy": 6.8414233207702635, + "epoch": 2.417512012813668, + "grad_norm": 1.0, + "learning_rate": 0.0004750911932955402, + "loss": 6.5734, + "mean_token_accuracy": 0.12275219932198525, + "num_tokens": 4953255.0, + "step": 2265 + }, + { + "entropy": 6.86159462928772, + "epoch": 2.4228510411105177, + "grad_norm": 0.921875, + "learning_rate": 0.00047489749602082316, + "loss": 6.5256, + "mean_token_accuracy": 0.12575036883354188, + "num_tokens": 4964766.0, + "step": 2270 + }, + { + "entropy": 6.822673892974853, + "epoch": 2.4281900694073677, + "grad_norm": 0.9453125, + "learning_rate": 0.00047470309302285617, + "loss": 6.5921, + "mean_token_accuracy": 0.12224113792181016, + "num_tokens": 4976644.0, + "step": 2275 + }, + { + "entropy": 6.7894798755645756, + "epoch": 2.4335290977042177, + "grad_norm": 0.9140625, + "learning_rate": 0.00047450798498796466, + "loss": 6.5303, + "mean_token_accuracy": 0.12349486351013184, + "num_tokens": 4986976.0, + "step": 2280 + }, + { + "entropy": 6.881432390213012, + "epoch": 2.4388681260010676, + "grad_norm": 0.98046875, + "learning_rate": 0.0004743121726049628, + "loss": 6.5324, + "mean_token_accuracy": 0.12652337923645973, + "num_tokens": 4998747.0, + "step": 2285 + }, + { + "entropy": 6.814818048477173, + "epoch": 2.444207154297918, + "grad_norm": 0.9921875, + "learning_rate": 0.0004741156565651518, + "loss": 6.5198, + "mean_token_accuracy": 0.13365631699562072, + "num_tokens": 5009323.0, + "step": 2290 + }, + { + "entropy": 6.901062488555908, + "epoch": 2.4495461825947675, + "grad_norm": 1.0, + "learning_rate": 0.00047391843756231693, + "loss": 6.5853, + "mean_token_accuracy": 0.12531132400035858, + "num_tokens": 5019434.0, + "step": 2295 + }, + { + "entropy": 6.782677125930786, + "epoch": 2.454885210891618, + "grad_norm": 0.8984375, + "learning_rate": 0.00047372051629272516, + "loss": 6.4909, + "mean_token_accuracy": 0.1259647473692894, + "num_tokens": 5029884.0, + "step": 2300 + }, + { + "entropy": 6.791875982284546, + "epoch": 2.460224239188468, + "grad_norm": 0.984375, + "learning_rate": 0.00047352189345512284, + "loss": 6.4898, + "mean_token_accuracy": 0.13430592641234398, + "num_tokens": 5040323.0, + "step": 2305 + }, + { + "entropy": 6.763852119445801, + "epoch": 2.465563267485318, + "grad_norm": 0.984375, + "learning_rate": 0.0004733225697507332, + "loss": 6.5126, + "mean_token_accuracy": 0.12424452975392342, + "num_tokens": 5051363.0, + "step": 2310 + }, + { + "entropy": 6.80372052192688, + "epoch": 2.470902295782168, + "grad_norm": 0.92578125, + "learning_rate": 0.0004731225458832537, + "loss": 6.4255, + "mean_token_accuracy": 0.13885923177003862, + "num_tokens": 5061221.0, + "step": 2315 + }, + { + "entropy": 6.77863450050354, + "epoch": 2.4762413240790178, + "grad_norm": 0.90234375, + "learning_rate": 0.00047292182255885367, + "loss": 6.4959, + "mean_token_accuracy": 0.13018832132220268, + "num_tokens": 5072578.0, + "step": 2320 + }, + { + "entropy": 6.769831752777099, + "epoch": 2.4815803523758677, + "grad_norm": 0.9921875, + "learning_rate": 0.0004727204004861721, + "loss": 6.4961, + "mean_token_accuracy": 0.12298517078161239, + "num_tokens": 5083244.0, + "step": 2325 + }, + { + "entropy": 6.7560343742370605, + "epoch": 2.4869193806727177, + "grad_norm": 0.92578125, + "learning_rate": 0.0004725182803763144, + "loss": 6.5339, + "mean_token_accuracy": 0.1289779581129551, + "num_tokens": 5094115.0, + "step": 2330 + }, + { + "entropy": 6.829773807525635, + "epoch": 2.4922584089695676, + "grad_norm": 0.94140625, + "learning_rate": 0.0004723154629428507, + "loss": 6.5461, + "mean_token_accuracy": 0.12436275333166122, + "num_tokens": 5104838.0, + "step": 2335 + }, + { + "entropy": 6.859137296676636, + "epoch": 2.4975974372664176, + "grad_norm": 1.0078125, + "learning_rate": 0.0004721119489018128, + "loss": 6.5327, + "mean_token_accuracy": 0.12045159563422203, + "num_tokens": 5115078.0, + "step": 2340 + }, + { + "entropy": 6.797474527359009, + "epoch": 2.5029364655632675, + "grad_norm": 1.0234375, + "learning_rate": 0.00047190773897169203, + "loss": 6.5572, + "mean_token_accuracy": 0.12596193179488183, + "num_tokens": 5126414.0, + "step": 2345 + }, + { + "entropy": 6.828856039047241, + "epoch": 2.5082754938601175, + "grad_norm": 0.9453125, + "learning_rate": 0.00047170283387343634, + "loss": 6.562, + "mean_token_accuracy": 0.12051519602537156, + "num_tokens": 5136271.0, + "step": 2350 + }, + { + "entropy": 6.800413131713867, + "epoch": 2.5136145221569675, + "grad_norm": 1.015625, + "learning_rate": 0.00047149723433044787, + "loss": 6.567, + "mean_token_accuracy": 0.12625120356678962, + "num_tokens": 5146780.0, + "step": 2355 + }, + { + "entropy": 6.86309061050415, + "epoch": 2.5189535504538174, + "grad_norm": 0.8671875, + "learning_rate": 0.00047129094106858056, + "loss": 6.5779, + "mean_token_accuracy": 0.12552282735705375, + "num_tokens": 5157941.0, + "step": 2360 + }, + { + "entropy": 6.79384446144104, + "epoch": 2.5242925787506674, + "grad_norm": 0.92578125, + "learning_rate": 0.00047108395481613736, + "loss": 6.5004, + "mean_token_accuracy": 0.1237537682056427, + "num_tokens": 5168994.0, + "step": 2365 + }, + { + "entropy": 6.758298110961914, + "epoch": 2.5296316070475173, + "grad_norm": 0.8203125, + "learning_rate": 0.00047087627630386803, + "loss": 6.4828, + "mean_token_accuracy": 0.1223898023366928, + "num_tokens": 5180780.0, + "step": 2370 + }, + { + "entropy": 6.754440212249756, + "epoch": 2.5349706353443673, + "grad_norm": 0.86328125, + "learning_rate": 0.000470667906264966, + "loss": 6.5634, + "mean_token_accuracy": 0.12323177009820938, + "num_tokens": 5192090.0, + "step": 2375 + }, + { + "entropy": 6.85933289527893, + "epoch": 2.5403096636412172, + "grad_norm": 0.96875, + "learning_rate": 0.0004704588454350661, + "loss": 6.4706, + "mean_token_accuracy": 0.1317416600883007, + "num_tokens": 5201854.0, + "step": 2380 + }, + { + "entropy": 6.773879671096802, + "epoch": 2.545648691938067, + "grad_norm": 0.88671875, + "learning_rate": 0.0004702490945522423, + "loss": 6.4941, + "mean_token_accuracy": 0.13044386208057404, + "num_tokens": 5213998.0, + "step": 2385 + }, + { + "entropy": 6.708115959167481, + "epoch": 2.550987720234917, + "grad_norm": 0.921875, + "learning_rate": 0.0004700386543570043, + "loss": 6.4527, + "mean_token_accuracy": 0.12814613208174705, + "num_tokens": 5225217.0, + "step": 2390 + }, + { + "entropy": 6.704124879837036, + "epoch": 2.556326748531767, + "grad_norm": 1.046875, + "learning_rate": 0.0004698275255922956, + "loss": 6.3849, + "mean_token_accuracy": 0.1327833689749241, + "num_tokens": 5235098.0, + "step": 2395 + }, + { + "entropy": 6.790454530715943, + "epoch": 2.561665776828617, + "grad_norm": 0.90625, + "learning_rate": 0.00046961570900349073, + "loss": 6.5778, + "mean_token_accuracy": 0.12630253434181213, + "num_tokens": 5246704.0, + "step": 2400 + }, + { + "entropy": 6.754661941528321, + "epoch": 2.567004805125467, + "grad_norm": 0.94921875, + "learning_rate": 0.0004694032053383922, + "loss": 6.4673, + "mean_token_accuracy": 0.13032191917300223, + "num_tokens": 5257331.0, + "step": 2405 + }, + { + "entropy": 6.766871213912964, + "epoch": 2.572343833422317, + "grad_norm": 0.97265625, + "learning_rate": 0.0004691900153472286, + "loss": 6.4521, + "mean_token_accuracy": 0.13126400411128997, + "num_tokens": 5267662.0, + "step": 2410 + }, + { + "entropy": 6.807767772674561, + "epoch": 2.5776828617191674, + "grad_norm": 1.0859375, + "learning_rate": 0.00046897613978265124, + "loss": 6.4927, + "mean_token_accuracy": 0.12516679093241692, + "num_tokens": 5277977.0, + "step": 2415 + }, + { + "entropy": 6.830004692077637, + "epoch": 2.583021890016017, + "grad_norm": 0.94921875, + "learning_rate": 0.0004687615793997319, + "loss": 6.6179, + "mean_token_accuracy": 0.11929458528757095, + "num_tokens": 5288987.0, + "step": 2420 + }, + { + "entropy": 6.791280221939087, + "epoch": 2.5883609183128673, + "grad_norm": 0.9296875, + "learning_rate": 0.0004685463349559602, + "loss": 6.4433, + "mean_token_accuracy": 0.12909359782934188, + "num_tokens": 5300300.0, + "step": 2425 + }, + { + "entropy": 6.760449028015136, + "epoch": 2.593699946609717, + "grad_norm": 0.87109375, + "learning_rate": 0.00046833040721124035, + "loss": 6.464, + "mean_token_accuracy": 0.12651569321751593, + "num_tokens": 5311606.0, + "step": 2430 + }, + { + "entropy": 6.779611396789551, + "epoch": 2.599038974906567, + "grad_norm": 0.9140625, + "learning_rate": 0.0004681137969278896, + "loss": 6.608, + "mean_token_accuracy": 0.11662786602973937, + "num_tokens": 5323218.0, + "step": 2435 + }, + { + "entropy": 6.729658365249634, + "epoch": 2.6043780032034167, + "grad_norm": 0.9296875, + "learning_rate": 0.0004678965048706341, + "loss": 6.459, + "mean_token_accuracy": 0.13026198297739028, + "num_tokens": 5334516.0, + "step": 2440 + }, + { + "entropy": 6.765009355545044, + "epoch": 2.609717031500267, + "grad_norm": 0.94140625, + "learning_rate": 0.0004676785318066075, + "loss": 6.5194, + "mean_token_accuracy": 0.12988420128822326, + "num_tokens": 5345751.0, + "step": 2445 + }, + { + "entropy": 6.8113123893737795, + "epoch": 2.615056059797117, + "grad_norm": 0.984375, + "learning_rate": 0.0004674598785053475, + "loss": 6.5869, + "mean_token_accuracy": 0.12195999845862389, + "num_tokens": 5356918.0, + "step": 2450 + }, + { + "entropy": 6.801035404205322, + "epoch": 2.620395088093967, + "grad_norm": 0.97265625, + "learning_rate": 0.00046724054573879314, + "loss": 6.4824, + "mean_token_accuracy": 0.13370697051286698, + "num_tokens": 5368175.0, + "step": 2455 + }, + { + "entropy": 6.681986713409424, + "epoch": 2.625734116390817, + "grad_norm": 0.91015625, + "learning_rate": 0.0004670205342812827, + "loss": 6.4613, + "mean_token_accuracy": 0.128626449406147, + "num_tokens": 5379074.0, + "step": 2460 + }, + { + "entropy": 6.836401033401489, + "epoch": 2.631073144687667, + "grad_norm": 0.8828125, + "learning_rate": 0.00046679984490955015, + "loss": 6.5203, + "mean_token_accuracy": 0.12719035670161247, + "num_tokens": 5389380.0, + "step": 2465 + }, + { + "entropy": 6.695728015899658, + "epoch": 2.636412172984517, + "grad_norm": 0.984375, + "learning_rate": 0.0004665784784027229, + "loss": 6.5465, + "mean_token_accuracy": 0.1358778417110443, + "num_tokens": 5401378.0, + "step": 2470 + }, + { + "entropy": 6.82390513420105, + "epoch": 2.641751201281367, + "grad_norm": 0.84765625, + "learning_rate": 0.0004663564355423189, + "loss": 6.4823, + "mean_token_accuracy": 0.12906705513596534, + "num_tokens": 5411434.0, + "step": 2475 + }, + { + "entropy": 6.819698429107666, + "epoch": 2.647090229578217, + "grad_norm": 0.96875, + "learning_rate": 0.0004661337171122442, + "loss": 6.4761, + "mean_token_accuracy": 0.1277168557047844, + "num_tokens": 5421597.0, + "step": 2480 + }, + { + "entropy": 6.689829397201538, + "epoch": 2.652429257875067, + "grad_norm": 0.828125, + "learning_rate": 0.00046591032389878934, + "loss": 6.485, + "mean_token_accuracy": 0.126693993806839, + "num_tokens": 5432166.0, + "step": 2485 + }, + { + "entropy": 6.698560667037964, + "epoch": 2.6577682861719167, + "grad_norm": 1.0234375, + "learning_rate": 0.0004656862566906276, + "loss": 6.4949, + "mean_token_accuracy": 0.12689822018146515, + "num_tokens": 5443156.0, + "step": 2490 + }, + { + "entropy": 6.902831506729126, + "epoch": 2.6631073144687667, + "grad_norm": 0.921875, + "learning_rate": 0.00046546151627881166, + "loss": 6.5727, + "mean_token_accuracy": 0.11838782355189323, + "num_tokens": 5453830.0, + "step": 2495 + }, + { + "entropy": 6.678612470626831, + "epoch": 2.6684463427656167, + "grad_norm": 0.98046875, + "learning_rate": 0.0004652361034567708, + "loss": 6.4709, + "mean_token_accuracy": 0.1326916351914406, + "num_tokens": 5465371.0, + "step": 2500 + }, + { + "epoch": 2.6684463427656167, + "eval_entropy": 6.506537835009686, + "eval_loss": 6.804722785949707, + "eval_mean_token_accuracy": 0.11863555662430726, + "eval_num_tokens": 5465371.0, + "eval_runtime": 1.8173, + "eval_samples_per_second": 1694.823, + "eval_steps_per_second": 211.853, + "step": 2500 + }, + { + "entropy": 6.768008804321289, + "epoch": 2.6737853710624666, + "grad_norm": 1.0625, + "learning_rate": 0.00046501001902030814, + "loss": 6.5267, + "mean_token_accuracy": 0.1259946919977665, + "num_tokens": 5476687.0, + "step": 2505 + }, + { + "entropy": 6.789381408691407, + "epoch": 2.6791243993593166, + "grad_norm": 0.98046875, + "learning_rate": 0.0004647832637675982, + "loss": 6.4999, + "mean_token_accuracy": 0.1216110959649086, + "num_tokens": 5487825.0, + "step": 2510 + }, + { + "entropy": 6.750199174880981, + "epoch": 2.6844634276561665, + "grad_norm": 1.0078125, + "learning_rate": 0.00046455583849918324, + "loss": 6.4768, + "mean_token_accuracy": 0.13176634460687636, + "num_tokens": 5498561.0, + "step": 2515 + }, + { + "entropy": 6.7578329086303714, + "epoch": 2.6898024559530165, + "grad_norm": 1.0, + "learning_rate": 0.0004643277440179715, + "loss": 6.4973, + "mean_token_accuracy": 0.12797005027532576, + "num_tokens": 5509624.0, + "step": 2520 + }, + { + "entropy": 6.720186614990235, + "epoch": 2.6951414842498664, + "grad_norm": 0.9375, + "learning_rate": 0.0004640989811292335, + "loss": 6.3996, + "mean_token_accuracy": 0.13824927657842637, + "num_tokens": 5519484.0, + "step": 2525 + }, + { + "entropy": 6.689453601837158, + "epoch": 2.7004805125467164, + "grad_norm": 0.890625, + "learning_rate": 0.0004638695506405996, + "loss": 6.3951, + "mean_token_accuracy": 0.132322496175766, + "num_tokens": 5531839.0, + "step": 2530 + }, + { + "entropy": 6.736231422424316, + "epoch": 2.7058195408435664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004636394533620571, + "loss": 6.5275, + "mean_token_accuracy": 0.1268465995788574, + "num_tokens": 5541787.0, + "step": 2535 + }, + { + "entropy": 6.809881973266601, + "epoch": 2.7111585691404163, + "grad_norm": 0.8046875, + "learning_rate": 0.0004634086901059474, + "loss": 6.582, + "mean_token_accuracy": 0.1202095814049244, + "num_tokens": 5553493.0, + "step": 2540 + }, + { + "entropy": 6.805474138259887, + "epoch": 2.7164975974372663, + "grad_norm": 0.8671875, + "learning_rate": 0.0004631772616869629, + "loss": 6.4382, + "mean_token_accuracy": 0.12904566749930382, + "num_tokens": 5564809.0, + "step": 2545 + }, + { + "entropy": 6.642514276504516, + "epoch": 2.7218366257341167, + "grad_norm": 0.89453125, + "learning_rate": 0.00046294516892214454, + "loss": 6.4544, + "mean_token_accuracy": 0.12669157981872559, + "num_tokens": 5575575.0, + "step": 2550 + }, + { + "entropy": 6.770498991012573, + "epoch": 2.727175654030966, + "grad_norm": 0.84765625, + "learning_rate": 0.00046271241263087846, + "loss": 6.4719, + "mean_token_accuracy": 0.12543186768889428, + "num_tokens": 5587276.0, + "step": 2555 + }, + { + "entropy": 6.732878065109253, + "epoch": 2.7325146823278166, + "grad_norm": 0.9296875, + "learning_rate": 0.0004624789936348936, + "loss": 6.4318, + "mean_token_accuracy": 0.1274913065135479, + "num_tokens": 5597557.0, + "step": 2560 + }, + { + "entropy": 6.679828453063965, + "epoch": 2.737853710624666, + "grad_norm": 0.953125, + "learning_rate": 0.00046224491275825825, + "loss": 6.4392, + "mean_token_accuracy": 0.13149973079562188, + "num_tokens": 5608512.0, + "step": 2565 + }, + { + "entropy": 6.733901882171631, + "epoch": 2.7431927389215165, + "grad_norm": 0.93359375, + "learning_rate": 0.0004620101708273776, + "loss": 6.5047, + "mean_token_accuracy": 0.13109129667282104, + "num_tokens": 5621788.0, + "step": 2570 + }, + { + "entropy": 6.806593799591065, + "epoch": 2.748531767218366, + "grad_norm": 0.953125, + "learning_rate": 0.00046177476867099055, + "loss": 6.4933, + "mean_token_accuracy": 0.12798713520169258, + "num_tokens": 5632493.0, + "step": 2575 + }, + { + "entropy": 6.739014434814453, + "epoch": 2.7538707955152164, + "grad_norm": 0.94921875, + "learning_rate": 0.00046153870712016694, + "loss": 6.5157, + "mean_token_accuracy": 0.12476658746600151, + "num_tokens": 5643163.0, + "step": 2580 + }, + { + "entropy": 6.717135906219482, + "epoch": 2.7592098238120664, + "grad_norm": 0.9296875, + "learning_rate": 0.0004613019870083045, + "loss": 6.4407, + "mean_token_accuracy": 0.1334136761724949, + "num_tokens": 5653362.0, + "step": 2585 + }, + { + "entropy": 6.775650072097778, + "epoch": 2.7645488521089163, + "grad_norm": 1.0078125, + "learning_rate": 0.0004610646091711261, + "loss": 6.5442, + "mean_token_accuracy": 0.13016111105680467, + "num_tokens": 5663637.0, + "step": 2590 + }, + { + "entropy": 6.6957603931427006, + "epoch": 2.7698878804057663, + "grad_norm": 0.96484375, + "learning_rate": 0.0004608265744466763, + "loss": 6.4834, + "mean_token_accuracy": 0.1269044943153858, + "num_tokens": 5674446.0, + "step": 2595 + }, + { + "entropy": 6.8000424861907955, + "epoch": 2.7752269087026162, + "grad_norm": 0.94140625, + "learning_rate": 0.00046058788367531927, + "loss": 6.5139, + "mean_token_accuracy": 0.13062895238399505, + "num_tokens": 5684768.0, + "step": 2600 + }, + { + "entropy": 6.765134954452515, + "epoch": 2.780565936999466, + "grad_norm": 0.89453125, + "learning_rate": 0.0004603485376997349, + "loss": 6.4089, + "mean_token_accuracy": 0.13543231412768364, + "num_tokens": 5696474.0, + "step": 2605 + }, + { + "entropy": 6.602987575531006, + "epoch": 2.785904965296316, + "grad_norm": 1.0, + "learning_rate": 0.0004601085373649163, + "loss": 6.5767, + "mean_token_accuracy": 0.12214590460062028, + "num_tokens": 5707829.0, + "step": 2610 + }, + { + "entropy": 6.819445943832397, + "epoch": 2.791243993593166, + "grad_norm": 0.8984375, + "learning_rate": 0.000459867883518167, + "loss": 6.5069, + "mean_token_accuracy": 0.12737508937716485, + "num_tokens": 5719325.0, + "step": 2615 + }, + { + "entropy": 6.790378141403198, + "epoch": 2.796583021890016, + "grad_norm": 0.96484375, + "learning_rate": 0.0004596265770090974, + "loss": 6.4816, + "mean_token_accuracy": 0.12503273263573647, + "num_tokens": 5730859.0, + "step": 2620 + }, + { + "entropy": 6.709441614151001, + "epoch": 2.801922050186866, + "grad_norm": 0.8984375, + "learning_rate": 0.0004593846186896222, + "loss": 6.4519, + "mean_token_accuracy": 0.132213544100523, + "num_tokens": 5741595.0, + "step": 2625 + }, + { + "entropy": 6.777496957778931, + "epoch": 2.807261078483716, + "grad_norm": 0.84765625, + "learning_rate": 0.00045914200941395725, + "loss": 6.4752, + "mean_token_accuracy": 0.12735849544405936, + "num_tokens": 5752989.0, + "step": 2630 + }, + { + "entropy": 6.731167650222778, + "epoch": 2.812600106780566, + "grad_norm": 0.90625, + "learning_rate": 0.0004588987500386165, + "loss": 6.4721, + "mean_token_accuracy": 0.12772611528635025, + "num_tokens": 5764440.0, + "step": 2635 + }, + { + "entropy": 6.696313142776489, + "epoch": 2.817939135077416, + "grad_norm": 0.9375, + "learning_rate": 0.0004586548414224093, + "loss": 6.3725, + "mean_token_accuracy": 0.13323593363165856, + "num_tokens": 5776389.0, + "step": 2640 + }, + { + "entropy": 6.725729465484619, + "epoch": 2.823278163374266, + "grad_norm": 0.94921875, + "learning_rate": 0.00045841028442643675, + "loss": 6.4058, + "mean_token_accuracy": 0.13175813257694244, + "num_tokens": 5787803.0, + "step": 2645 + }, + { + "entropy": 6.698521423339844, + "epoch": 2.828617191671116, + "grad_norm": 0.92578125, + "learning_rate": 0.0004581650799140891, + "loss": 6.4867, + "mean_token_accuracy": 0.12856226190924644, + "num_tokens": 5799647.0, + "step": 2650 + }, + { + "entropy": 6.737258195877075, + "epoch": 2.8339562199679658, + "grad_norm": 0.90234375, + "learning_rate": 0.0004579192287510427, + "loss": 6.4974, + "mean_token_accuracy": 0.12667600736021994, + "num_tokens": 5809968.0, + "step": 2655 + }, + { + "entropy": 6.778554439544678, + "epoch": 2.8392952482648157, + "grad_norm": 0.95703125, + "learning_rate": 0.0004576727318052568, + "loss": 6.465, + "mean_token_accuracy": 0.13686817660927772, + "num_tokens": 5820075.0, + "step": 2660 + }, + { + "entropy": 6.646070718765259, + "epoch": 2.8446342765616657, + "grad_norm": 0.94140625, + "learning_rate": 0.00045742558994697063, + "loss": 6.4838, + "mean_token_accuracy": 0.13021821826696395, + "num_tokens": 5830686.0, + "step": 2665 + }, + { + "entropy": 6.814020347595215, + "epoch": 2.8499733048585156, + "grad_norm": 1.0, + "learning_rate": 0.0004571778040487001, + "loss": 6.458, + "mean_token_accuracy": 0.13131239861249924, + "num_tokens": 5841451.0, + "step": 2670 + }, + { + "entropy": 6.666039228439331, + "epoch": 2.8553123331553656, + "grad_norm": 1.0, + "learning_rate": 0.0004569293749852347, + "loss": 6.4986, + "mean_token_accuracy": 0.1276731461286545, + "num_tokens": 5852650.0, + "step": 2675 + }, + { + "entropy": 6.715946388244629, + "epoch": 2.8606513614522155, + "grad_norm": 0.91015625, + "learning_rate": 0.0004566803036336351, + "loss": 6.4434, + "mean_token_accuracy": 0.1310188926756382, + "num_tokens": 5865056.0, + "step": 2680 + }, + { + "entropy": 6.740395164489746, + "epoch": 2.865990389749066, + "grad_norm": 0.95703125, + "learning_rate": 0.00045643059087322895, + "loss": 6.4935, + "mean_token_accuracy": 0.12656164914369583, + "num_tokens": 5876069.0, + "step": 2685 + }, + { + "entropy": 6.742620897293091, + "epoch": 2.8713294180459155, + "grad_norm": 1.0078125, + "learning_rate": 0.0004561802375856088, + "loss": 6.4406, + "mean_token_accuracy": 0.1361336812376976, + "num_tokens": 5886366.0, + "step": 2690 + }, + { + "entropy": 6.720592260360718, + "epoch": 2.876668446342766, + "grad_norm": 0.86328125, + "learning_rate": 0.0004559292446546281, + "loss": 6.508, + "mean_token_accuracy": 0.1300479516386986, + "num_tokens": 5897101.0, + "step": 2695 + }, + { + "entropy": 6.787854623794556, + "epoch": 2.8820074746396154, + "grad_norm": 0.93359375, + "learning_rate": 0.00045567761296639887, + "loss": 6.5176, + "mean_token_accuracy": 0.1308740459382534, + "num_tokens": 5908748.0, + "step": 2700 + }, + { + "entropy": 6.783561897277832, + "epoch": 2.8873465029364658, + "grad_norm": 0.8984375, + "learning_rate": 0.000455425343409288, + "loss": 6.545, + "mean_token_accuracy": 0.12536448761820793, + "num_tokens": 5920830.0, + "step": 2705 + }, + { + "entropy": 6.626713418960572, + "epoch": 2.8926855312333153, + "grad_norm": 0.9140625, + "learning_rate": 0.00045517243687391454, + "loss": 6.3492, + "mean_token_accuracy": 0.13662005811929703, + "num_tokens": 5932360.0, + "step": 2710 + }, + { + "entropy": 6.75290880203247, + "epoch": 2.8980245595301657, + "grad_norm": 1.03125, + "learning_rate": 0.0004549188942531461, + "loss": 6.4833, + "mean_token_accuracy": 0.12693905979394912, + "num_tokens": 5944067.0, + "step": 2715 + }, + { + "entropy": 6.806321859359741, + "epoch": 2.9033635878270156, + "grad_norm": 0.98046875, + "learning_rate": 0.000454664716442096, + "loss": 6.5369, + "mean_token_accuracy": 0.1230388343334198, + "num_tokens": 5955974.0, + "step": 2720 + }, + { + "entropy": 6.792594861984253, + "epoch": 2.9087026161238656, + "grad_norm": 0.93359375, + "learning_rate": 0.00045440990433812025, + "loss": 6.5309, + "mean_token_accuracy": 0.1249440647661686, + "num_tokens": 5966542.0, + "step": 2725 + }, + { + "entropy": 6.660552597045898, + "epoch": 2.9140416444207156, + "grad_norm": 0.9453125, + "learning_rate": 0.000454154458840814, + "loss": 6.4113, + "mean_token_accuracy": 0.1303204596042633, + "num_tokens": 5977342.0, + "step": 2730 + }, + { + "entropy": 6.760577392578125, + "epoch": 2.9193806727175655, + "grad_norm": 0.9453125, + "learning_rate": 0.0004538983808520085, + "loss": 6.5565, + "mean_token_accuracy": 0.12395976111292839, + "num_tokens": 5988786.0, + "step": 2735 + }, + { + "entropy": 6.788736200332641, + "epoch": 2.9247197010144155, + "grad_norm": 0.87890625, + "learning_rate": 0.00045364167127576817, + "loss": 6.5493, + "mean_token_accuracy": 0.11930835843086243, + "num_tokens": 6000167.0, + "step": 2740 + }, + { + "entropy": 6.671005630493164, + "epoch": 2.9300587293112654, + "grad_norm": 1.0546875, + "learning_rate": 0.00045338433101838705, + "loss": 6.4336, + "mean_token_accuracy": 0.12854471430182457, + "num_tokens": 6012214.0, + "step": 2745 + }, + { + "entropy": 6.764946031570434, + "epoch": 2.9353977576081154, + "grad_norm": 0.921875, + "learning_rate": 0.00045312636098838576, + "loss": 6.524, + "mean_token_accuracy": 0.13039105236530305, + "num_tokens": 6023032.0, + "step": 2750 + }, + { + "entropy": 6.726640939712524, + "epoch": 2.9407367859049653, + "grad_norm": 0.9453125, + "learning_rate": 0.0004528677620965083, + "loss": 6.4315, + "mean_token_accuracy": 0.13164386823773383, + "num_tokens": 6033398.0, + "step": 2755 + }, + { + "entropy": 6.7339318752288815, + "epoch": 2.9460758142018153, + "grad_norm": 0.92578125, + "learning_rate": 0.00045260853525571894, + "loss": 6.4657, + "mean_token_accuracy": 0.12935673370957373, + "num_tokens": 6044549.0, + "step": 2760 + }, + { + "entropy": 6.581913232803345, + "epoch": 2.9514148424986653, + "grad_norm": 1.1328125, + "learning_rate": 0.0004523486813811987, + "loss": 6.2531, + "mean_token_accuracy": 0.13347729817032813, + "num_tokens": 6055213.0, + "step": 2765 + }, + { + "entropy": 6.656859970092773, + "epoch": 2.956753870795515, + "grad_norm": 1.03125, + "learning_rate": 0.0004520882013903423, + "loss": 6.3928, + "mean_token_accuracy": 0.13870861008763313, + "num_tokens": 6065488.0, + "step": 2770 + }, + { + "entropy": 6.702912044525147, + "epoch": 2.962092899092365, + "grad_norm": 1.078125, + "learning_rate": 0.00045182709620275504, + "loss": 6.4888, + "mean_token_accuracy": 0.1314636677503586, + "num_tokens": 6077525.0, + "step": 2775 + }, + { + "entropy": 6.749990224838257, + "epoch": 2.967431927389215, + "grad_norm": 0.94140625, + "learning_rate": 0.0004515653667402494, + "loss": 6.4758, + "mean_token_accuracy": 0.1329290971159935, + "num_tokens": 6088707.0, + "step": 2780 + }, + { + "entropy": 6.70402946472168, + "epoch": 2.972770955686065, + "grad_norm": 0.9921875, + "learning_rate": 0.0004513030139268418, + "loss": 6.4342, + "mean_token_accuracy": 0.13106571063399314, + "num_tokens": 6099231.0, + "step": 2785 + }, + { + "entropy": 6.698221158981323, + "epoch": 2.978109983982915, + "grad_norm": 1.0078125, + "learning_rate": 0.0004510400386887493, + "loss": 6.5101, + "mean_token_accuracy": 0.12947579026222228, + "num_tokens": 6110356.0, + "step": 2790 + }, + { + "entropy": 6.7977382183074955, + "epoch": 2.983449012279765, + "grad_norm": 1.0234375, + "learning_rate": 0.00045077644195438645, + "loss": 6.4675, + "mean_token_accuracy": 0.1286630518734455, + "num_tokens": 6120722.0, + "step": 2795 + }, + { + "entropy": 6.746077966690064, + "epoch": 2.988788040576615, + "grad_norm": 0.88671875, + "learning_rate": 0.000450512224654362, + "loss": 6.4564, + "mean_token_accuracy": 0.13280715346336364, + "num_tokens": 6131404.0, + "step": 2800 + }, + { + "entropy": 6.678772449493408, + "epoch": 2.994127068873465, + "grad_norm": 1.0859375, + "learning_rate": 0.00045024738772147534, + "loss": 6.4695, + "mean_token_accuracy": 0.12211451306939125, + "num_tokens": 6141402.0, + "step": 2805 + }, + { + "entropy": 6.752857732772827, + "epoch": 2.999466097170315, + "grad_norm": 0.8828125, + "learning_rate": 0.00044998193209071365, + "loss": 6.407, + "mean_token_accuracy": 0.13422416672110557, + "num_tokens": 6152082.0, + "step": 2810 + }, + { + "entropy": 6.670749982198079, + "epoch": 3.00427122263748, + "grad_norm": 0.8359375, + "learning_rate": 0.00044971585869924826, + "loss": 6.124, + "mean_token_accuracy": 0.14834013250139025, + "num_tokens": 6162282.0, + "step": 2815 + }, + { + "entropy": 6.658770990371704, + "epoch": 3.00961025093433, + "grad_norm": 1.171875, + "learning_rate": 0.0004494491684864316, + "loss": 6.1142, + "mean_token_accuracy": 0.13844860345125198, + "num_tokens": 6173818.0, + "step": 2820 + }, + { + "entropy": 6.700858926773071, + "epoch": 3.01494927923118, + "grad_norm": 0.9296875, + "learning_rate": 0.00044918186239379363, + "loss": 6.145, + "mean_token_accuracy": 0.1486111745238304, + "num_tokens": 6184406.0, + "step": 2825 + }, + { + "entropy": 6.702039670944214, + "epoch": 3.02028830752803, + "grad_norm": 1.046875, + "learning_rate": 0.0004489139413650385, + "loss": 6.1982, + "mean_token_accuracy": 0.13922229036688805, + "num_tokens": 6195817.0, + "step": 2830 + }, + { + "entropy": 6.690669584274292, + "epoch": 3.02562733582488, + "grad_norm": 0.95703125, + "learning_rate": 0.0004486454063460415, + "loss": 6.0552, + "mean_token_accuracy": 0.14872528836131096, + "num_tokens": 6206176.0, + "step": 2835 + }, + { + "entropy": 6.633033227920532, + "epoch": 3.03096636412173, + "grad_norm": 0.9375, + "learning_rate": 0.0004483762582848457, + "loss": 6.1384, + "mean_token_accuracy": 0.14411605522036552, + "num_tokens": 6215783.0, + "step": 2840 + }, + { + "entropy": 6.706024503707885, + "epoch": 3.03630539241858, + "grad_norm": 0.90234375, + "learning_rate": 0.0004481064981316583, + "loss": 6.1254, + "mean_token_accuracy": 0.13902800604701043, + "num_tokens": 6227146.0, + "step": 2845 + }, + { + "entropy": 6.64505181312561, + "epoch": 3.04164442071543, + "grad_norm": 0.8984375, + "learning_rate": 0.00044783612683884744, + "loss": 6.1002, + "mean_token_accuracy": 0.14859205186367036, + "num_tokens": 6237417.0, + "step": 2850 + }, + { + "entropy": 6.639095830917358, + "epoch": 3.04698344901228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004475651453609388, + "loss": 6.1527, + "mean_token_accuracy": 0.14703191369771956, + "num_tokens": 6249136.0, + "step": 2855 + }, + { + "entropy": 6.657324695587159, + "epoch": 3.0523224773091298, + "grad_norm": 0.8828125, + "learning_rate": 0.00044729355465461236, + "loss": 6.1194, + "mean_token_accuracy": 0.1403007425367832, + "num_tokens": 6260811.0, + "step": 2860 + }, + { + "entropy": 6.6688212871551515, + "epoch": 3.0576615056059797, + "grad_norm": 0.91015625, + "learning_rate": 0.000447021355678699, + "loss": 6.1916, + "mean_token_accuracy": 0.13820797055959702, + "num_tokens": 6272776.0, + "step": 2865 + }, + { + "entropy": 6.72321252822876, + "epoch": 3.0630005339028297, + "grad_norm": 0.9296875, + "learning_rate": 0.0004467485493941769, + "loss": 6.1175, + "mean_token_accuracy": 0.1424892447888851, + "num_tokens": 6283335.0, + "step": 2870 + }, + { + "entropy": 6.535885858535766, + "epoch": 3.0683395621996796, + "grad_norm": 0.94921875, + "learning_rate": 0.00044647513676416835, + "loss": 6.0816, + "mean_token_accuracy": 0.14990985095500947, + "num_tokens": 6293383.0, + "step": 2875 + }, + { + "entropy": 6.673948097229004, + "epoch": 3.0736785904965296, + "grad_norm": 0.98828125, + "learning_rate": 0.0004462011187539364, + "loss": 6.1289, + "mean_token_accuracy": 0.1540223926305771, + "num_tokens": 6303373.0, + "step": 2880 + }, + { + "entropy": 6.657982444763183, + "epoch": 3.0790176187933795, + "grad_norm": 1.03125, + "learning_rate": 0.0004459264963308812, + "loss": 6.1452, + "mean_token_accuracy": 0.1427639067173004, + "num_tokens": 6315674.0, + "step": 2885 + }, + { + "entropy": 6.5796790599823, + "epoch": 3.0843566470902295, + "grad_norm": 1.0078125, + "learning_rate": 0.00044565127046453687, + "loss": 6.0308, + "mean_token_accuracy": 0.14728442281484605, + "num_tokens": 6326183.0, + "step": 2890 + }, + { + "entropy": 6.510620546340943, + "epoch": 3.0896956753870795, + "grad_norm": 0.90625, + "learning_rate": 0.00044537544212656775, + "loss": 6.1323, + "mean_token_accuracy": 0.14221204370260238, + "num_tokens": 6337495.0, + "step": 2895 + }, + { + "entropy": 6.6099615573883055, + "epoch": 3.0950347036839294, + "grad_norm": 0.92578125, + "learning_rate": 0.00044509901229076537, + "loss": 6.0958, + "mean_token_accuracy": 0.14601162523031236, + "num_tokens": 6348935.0, + "step": 2900 + }, + { + "entropy": 6.617335224151612, + "epoch": 3.1003737319807794, + "grad_norm": 0.88671875, + "learning_rate": 0.0004448219819330447, + "loss": 6.2415, + "mean_token_accuracy": 0.13788999915122985, + "num_tokens": 6359701.0, + "step": 2905 + }, + { + "entropy": 6.688894605636596, + "epoch": 3.1057127602776293, + "grad_norm": 0.94140625, + "learning_rate": 0.0004445443520314409, + "loss": 6.1635, + "mean_token_accuracy": 0.1362752579152584, + "num_tokens": 6370134.0, + "step": 2910 + }, + { + "entropy": 6.596358346939087, + "epoch": 3.1110517885744793, + "grad_norm": 0.95703125, + "learning_rate": 0.00044426612356610555, + "loss": 6.1984, + "mean_token_accuracy": 0.1391242265701294, + "num_tokens": 6381644.0, + "step": 2915 + }, + { + "entropy": 6.677271556854248, + "epoch": 3.1163908168713292, + "grad_norm": 0.9140625, + "learning_rate": 0.0004439872975193037, + "loss": 6.1728, + "mean_token_accuracy": 0.1386138141155243, + "num_tokens": 6393386.0, + "step": 2920 + }, + { + "entropy": 6.570891571044922, + "epoch": 3.121729845168179, + "grad_norm": 0.8984375, + "learning_rate": 0.00044370787487540986, + "loss": 6.1742, + "mean_token_accuracy": 0.14069369807839394, + "num_tokens": 6405487.0, + "step": 2925 + }, + { + "entropy": 6.6059774398803714, + "epoch": 3.1270688734650296, + "grad_norm": 1.0078125, + "learning_rate": 0.000443427856620905, + "loss": 6.1768, + "mean_token_accuracy": 0.14093007072806357, + "num_tokens": 6416470.0, + "step": 2930 + }, + { + "entropy": 6.669240856170655, + "epoch": 3.132407901761879, + "grad_norm": 0.98046875, + "learning_rate": 0.00044314724374437274, + "loss": 6.2054, + "mean_token_accuracy": 0.14186814278364182, + "num_tokens": 6428579.0, + "step": 2935 + }, + { + "entropy": 6.625475597381592, + "epoch": 3.1377469300587295, + "grad_norm": 0.94140625, + "learning_rate": 0.0004428660372364959, + "loss": 6.2372, + "mean_token_accuracy": 0.14359409660100936, + "num_tokens": 6438976.0, + "step": 2940 + }, + { + "entropy": 6.640156650543213, + "epoch": 3.1430859583555795, + "grad_norm": 0.93359375, + "learning_rate": 0.0004425842380900532, + "loss": 6.1401, + "mean_token_accuracy": 0.13635687604546548, + "num_tokens": 6449919.0, + "step": 2945 + }, + { + "entropy": 6.540213251113892, + "epoch": 3.1484249866524294, + "grad_norm": 0.9375, + "learning_rate": 0.00044230184729991565, + "loss": 6.1379, + "mean_token_accuracy": 0.14237724021077156, + "num_tokens": 6460874.0, + "step": 2950 + }, + { + "entropy": 6.662953329086304, + "epoch": 3.1537640149492794, + "grad_norm": 0.89453125, + "learning_rate": 0.0004420188658630428, + "loss": 6.1318, + "mean_token_accuracy": 0.14336148053407669, + "num_tokens": 6471606.0, + "step": 2955 + }, + { + "entropy": 6.579173994064331, + "epoch": 3.1591030432461293, + "grad_norm": 0.9921875, + "learning_rate": 0.00044173529477847974, + "loss": 6.1682, + "mean_token_accuracy": 0.140760400891304, + "num_tokens": 6481917.0, + "step": 2960 + }, + { + "entropy": 6.60531063079834, + "epoch": 3.1644420715429793, + "grad_norm": 1.1015625, + "learning_rate": 0.00044145113504735295, + "loss": 6.152, + "mean_token_accuracy": 0.14812284484505653, + "num_tokens": 6493295.0, + "step": 2965 + }, + { + "entropy": 6.603976917266846, + "epoch": 3.1697810998398293, + "grad_norm": 0.8984375, + "learning_rate": 0.0004411663876728674, + "loss": 6.1612, + "mean_token_accuracy": 0.1435246966779232, + "num_tokens": 6504208.0, + "step": 2970 + }, + { + "entropy": 6.5477807998657225, + "epoch": 3.175120128136679, + "grad_norm": 0.91796875, + "learning_rate": 0.00044088105366030234, + "loss": 6.0951, + "mean_token_accuracy": 0.1487772673368454, + "num_tokens": 6515347.0, + "step": 2975 + }, + { + "entropy": 6.601194953918457, + "epoch": 3.180459156433529, + "grad_norm": 0.9375, + "learning_rate": 0.0004405951340170084, + "loss": 6.1623, + "mean_token_accuracy": 0.13532078862190247, + "num_tokens": 6527674.0, + "step": 2980 + }, + { + "entropy": 6.564567041397095, + "epoch": 3.185798184730379, + "grad_norm": 0.9140625, + "learning_rate": 0.00044030862975240364, + "loss": 6.1279, + "mean_token_accuracy": 0.1448235183954239, + "num_tokens": 6539048.0, + "step": 2985 + }, + { + "entropy": 6.595535612106323, + "epoch": 3.191137213027229, + "grad_norm": 0.97265625, + "learning_rate": 0.00044002154187797003, + "loss": 6.1979, + "mean_token_accuracy": 0.1410246193408966, + "num_tokens": 6550152.0, + "step": 2990 + }, + { + "entropy": 6.677579689025879, + "epoch": 3.196476241324079, + "grad_norm": 1.1484375, + "learning_rate": 0.00043973387140725, + "loss": 6.1773, + "mean_token_accuracy": 0.14386973679065704, + "num_tokens": 6561189.0, + "step": 2995 + }, + { + "entropy": 6.722335386276245, + "epoch": 3.201815269620929, + "grad_norm": 0.9296875, + "learning_rate": 0.0004394456193558428, + "loss": 6.2154, + "mean_token_accuracy": 0.13892951905727385, + "num_tokens": 6572548.0, + "step": 3000 + }, + { + "epoch": 3.201815269620929, + "eval_entropy": 6.4393722497023544, + "eval_loss": 6.7406086921691895, + "eval_mean_token_accuracy": 0.12297290774521889, + "eval_num_tokens": 6572548.0, + "eval_runtime": 1.8114, + "eval_samples_per_second": 1700.306, + "eval_steps_per_second": 212.538, + "step": 3000 + }, + { + "entropy": 6.626015567779541, + "epoch": 3.207154297917779, + "grad_norm": 0.8984375, + "learning_rate": 0.0004391567867414007, + "loss": 6.2295, + "mean_token_accuracy": 0.13846756219863893, + "num_tokens": 6584176.0, + "step": 3005 + }, + { + "entropy": 6.582659435272217, + "epoch": 3.212493326214629, + "grad_norm": 1.0234375, + "learning_rate": 0.00043886737458362596, + "loss": 6.0709, + "mean_token_accuracy": 0.15341638177633285, + "num_tokens": 6595070.0, + "step": 3010 + }, + { + "entropy": 6.523849010467529, + "epoch": 3.217832354511479, + "grad_norm": 0.98046875, + "learning_rate": 0.0004385773839042666, + "loss": 6.1148, + "mean_token_accuracy": 0.14375541731715202, + "num_tokens": 6606556.0, + "step": 3015 + }, + { + "entropy": 6.617887306213379, + "epoch": 3.223171382808329, + "grad_norm": 0.96875, + "learning_rate": 0.00043828681572711316, + "loss": 6.0635, + "mean_token_accuracy": 0.14926337003707885, + "num_tokens": 6616944.0, + "step": 3020 + }, + { + "entropy": 6.489473152160644, + "epoch": 3.228510411105179, + "grad_norm": 1.046875, + "learning_rate": 0.00043799567107799504, + "loss": 6.1453, + "mean_token_accuracy": 0.15048904716968536, + "num_tokens": 6627541.0, + "step": 3025 + }, + { + "entropy": 6.605879449844361, + "epoch": 3.2338494394020287, + "grad_norm": 0.9140625, + "learning_rate": 0.00043770395098477666, + "loss": 6.1314, + "mean_token_accuracy": 0.14454084560275077, + "num_tokens": 6639102.0, + "step": 3030 + }, + { + "entropy": 6.652470588684082, + "epoch": 3.2391884676988787, + "grad_norm": 1.0, + "learning_rate": 0.0004374116564773543, + "loss": 6.1631, + "mean_token_accuracy": 0.14270546436309814, + "num_tokens": 6650737.0, + "step": 3035 + }, + { + "entropy": 6.537238025665284, + "epoch": 3.2445274959957286, + "grad_norm": 0.97265625, + "learning_rate": 0.0004371187885876519, + "loss": 6.1842, + "mean_token_accuracy": 0.138457190990448, + "num_tokens": 6661812.0, + "step": 3040 + }, + { + "entropy": 6.6336798667907715, + "epoch": 3.2498665242925786, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682534834961766, + "loss": 6.2576, + "mean_token_accuracy": 0.1425720900297165, + "num_tokens": 6672122.0, + "step": 3045 + }, + { + "entropy": 6.620451641082764, + "epoch": 3.2552055525894286, + "grad_norm": 1.03125, + "learning_rate": 0.00043653133679922077, + "loss": 6.2141, + "mean_token_accuracy": 0.14090549126267432, + "num_tokens": 6684219.0, + "step": 3050 + }, + { + "entropy": 6.561987209320068, + "epoch": 3.2605445808862785, + "grad_norm": 1.015625, + "learning_rate": 0.00043623675497444695, + "loss": 6.0454, + "mean_token_accuracy": 0.14704931527376175, + "num_tokens": 6694290.0, + "step": 3055 + }, + { + "entropy": 6.5945192813873295, + "epoch": 3.2658836091831285, + "grad_norm": 1.0546875, + "learning_rate": 0.00043594160391529545, + "loss": 6.157, + "mean_token_accuracy": 0.14867981225252153, + "num_tokens": 6704313.0, + "step": 3060 + }, + { + "entropy": 6.563622903823853, + "epoch": 3.271222637479979, + "grad_norm": 0.9609375, + "learning_rate": 0.00043564588466377536, + "loss": 6.1617, + "mean_token_accuracy": 0.14300615936517716, + "num_tokens": 6715424.0, + "step": 3065 + }, + { + "entropy": 6.504296970367432, + "epoch": 3.2765616657768284, + "grad_norm": 0.97265625, + "learning_rate": 0.0004353495982639012, + "loss": 6.0365, + "mean_token_accuracy": 0.144931760430336, + "num_tokens": 6727025.0, + "step": 3070 + }, + { + "entropy": 6.58922119140625, + "epoch": 3.281900694073679, + "grad_norm": 0.984375, + "learning_rate": 0.00043505274576169037, + "loss": 6.1521, + "mean_token_accuracy": 0.14766536206007003, + "num_tokens": 6738344.0, + "step": 3075 + }, + { + "entropy": 6.5671083450317385, + "epoch": 3.2872397223705287, + "grad_norm": 0.9921875, + "learning_rate": 0.00043475532820515836, + "loss": 6.1378, + "mean_token_accuracy": 0.14321689307689667, + "num_tokens": 6748812.0, + "step": 3080 + }, + { + "entropy": 6.579545545578003, + "epoch": 3.2925787506673787, + "grad_norm": 0.9375, + "learning_rate": 0.00043445734664431575, + "loss": 6.1458, + "mean_token_accuracy": 0.14259575307369232, + "num_tokens": 6759776.0, + "step": 3085 + }, + { + "entropy": 6.557349061965942, + "epoch": 3.2979177789642287, + "grad_norm": 0.94140625, + "learning_rate": 0.0004341588021311644, + "loss": 6.1432, + "mean_token_accuracy": 0.14480729252099991, + "num_tokens": 6770702.0, + "step": 3090 + }, + { + "entropy": 6.5284239768981935, + "epoch": 3.3032568072610786, + "grad_norm": 0.93359375, + "learning_rate": 0.00043385969571969353, + "loss": 6.14, + "mean_token_accuracy": 0.1491951197385788, + "num_tokens": 6781599.0, + "step": 3095 + }, + { + "entropy": 6.5264880657196045, + "epoch": 3.3085958355579286, + "grad_norm": 0.98046875, + "learning_rate": 0.00043356002846587597, + "loss": 6.1786, + "mean_token_accuracy": 0.14892054349184036, + "num_tokens": 6792385.0, + "step": 3100 + }, + { + "entropy": 6.645450162887573, + "epoch": 3.3139348638547785, + "grad_norm": 0.97265625, + "learning_rate": 0.0004332598014276647, + "loss": 6.1443, + "mean_token_accuracy": 0.1407065249979496, + "num_tokens": 6803805.0, + "step": 3105 + }, + { + "entropy": 6.503142929077148, + "epoch": 3.3192738921516285, + "grad_norm": 0.89453125, + "learning_rate": 0.00043295901566498907, + "loss": 6.1686, + "mean_token_accuracy": 0.1454508811235428, + "num_tokens": 6815460.0, + "step": 3110 + }, + { + "entropy": 6.593047142028809, + "epoch": 3.3246129204484784, + "grad_norm": 1.0859375, + "learning_rate": 0.00043265767223975076, + "loss": 6.1151, + "mean_token_accuracy": 0.1487767554819584, + "num_tokens": 6825995.0, + "step": 3115 + }, + { + "entropy": 6.522263669967652, + "epoch": 3.3299519487453284, + "grad_norm": 0.90625, + "learning_rate": 0.0004323557722158204, + "loss": 6.0856, + "mean_token_accuracy": 0.14423727318644525, + "num_tokens": 6836793.0, + "step": 3120 + }, + { + "entropy": 6.56120867729187, + "epoch": 3.3352909770421784, + "grad_norm": 0.91015625, + "learning_rate": 0.0004320533166590335, + "loss": 6.1374, + "mean_token_accuracy": 0.14478903859853745, + "num_tokens": 6849063.0, + "step": 3125 + }, + { + "entropy": 6.615983200073242, + "epoch": 3.3406300053390283, + "grad_norm": 0.98828125, + "learning_rate": 0.000431750306637187, + "loss": 6.1393, + "mean_token_accuracy": 0.13982861638069152, + "num_tokens": 6859821.0, + "step": 3130 + }, + { + "entropy": 6.547687005996704, + "epoch": 3.3459690336358783, + "grad_norm": 0.953125, + "learning_rate": 0.00043144674322003525, + "loss": 6.1659, + "mean_token_accuracy": 0.14122217744588852, + "num_tokens": 6871026.0, + "step": 3135 + }, + { + "entropy": 6.6049974918365475, + "epoch": 3.3513080619327282, + "grad_norm": 0.83984375, + "learning_rate": 0.0004311426274792863, + "loss": 6.2092, + "mean_token_accuracy": 0.14053697511553764, + "num_tokens": 6883135.0, + "step": 3140 + }, + { + "entropy": 6.531812572479248, + "epoch": 3.356647090229578, + "grad_norm": 0.875, + "learning_rate": 0.0004308379604885981, + "loss": 6.1506, + "mean_token_accuracy": 0.14196842312812805, + "num_tokens": 6893943.0, + "step": 3145 + }, + { + "entropy": 6.480563163757324, + "epoch": 3.361986118526428, + "grad_norm": 0.96875, + "learning_rate": 0.0004305327433235749, + "loss": 6.17, + "mean_token_accuracy": 0.14052093848586084, + "num_tokens": 6904172.0, + "step": 3150 + }, + { + "entropy": 6.660596752166748, + "epoch": 3.367325146823278, + "grad_norm": 1.09375, + "learning_rate": 0.0004302269770617632, + "loss": 6.174, + "mean_token_accuracy": 0.14555246010422707, + "num_tokens": 6915440.0, + "step": 3155 + }, + { + "entropy": 6.630261611938477, + "epoch": 3.372664175120128, + "grad_norm": 0.984375, + "learning_rate": 0.000429920662782648, + "loss": 6.2339, + "mean_token_accuracy": 0.1399409957230091, + "num_tokens": 6927762.0, + "step": 3160 + }, + { + "entropy": 6.615788125991822, + "epoch": 3.378003203416978, + "grad_norm": 1.0078125, + "learning_rate": 0.00042961380156764925, + "loss": 6.1738, + "mean_token_accuracy": 0.1380746841430664, + "num_tokens": 6938139.0, + "step": 3165 + }, + { + "entropy": 6.513877248764038, + "epoch": 3.383342231713828, + "grad_norm": 0.984375, + "learning_rate": 0.0004293063945001175, + "loss": 6.1746, + "mean_token_accuracy": 0.14551160410046576, + "num_tokens": 6949463.0, + "step": 3170 + }, + { + "entropy": 6.643848180770874, + "epoch": 3.388681260010678, + "grad_norm": 0.921875, + "learning_rate": 0.00042899844266533054, + "loss": 6.2151, + "mean_token_accuracy": 0.14019910618662834, + "num_tokens": 6960660.0, + "step": 3175 + }, + { + "entropy": 6.584480094909668, + "epoch": 3.394020288307528, + "grad_norm": 0.9453125, + "learning_rate": 0.0004286899471504896, + "loss": 6.1518, + "mean_token_accuracy": 0.14778395593166352, + "num_tokens": 6971283.0, + "step": 3180 + }, + { + "entropy": 6.641484785079956, + "epoch": 3.399359316604378, + "grad_norm": 1.0390625, + "learning_rate": 0.00042838090904471495, + "loss": 6.1865, + "mean_token_accuracy": 0.14859624207019806, + "num_tokens": 6981248.0, + "step": 3185 + }, + { + "entropy": 6.482734870910645, + "epoch": 3.404698344901228, + "grad_norm": 0.93359375, + "learning_rate": 0.0004280713294390428, + "loss": 6.153, + "mean_token_accuracy": 0.1452343285083771, + "num_tokens": 6991574.0, + "step": 3190 + }, + { + "entropy": 6.56207766532898, + "epoch": 3.4100373731980778, + "grad_norm": 0.921875, + "learning_rate": 0.0004277612094264209, + "loss": 6.1664, + "mean_token_accuracy": 0.1509738191962242, + "num_tokens": 7002548.0, + "step": 3195 + }, + { + "entropy": 6.571753215789795, + "epoch": 3.415376401494928, + "grad_norm": 1.0703125, + "learning_rate": 0.0004274505501017048, + "loss": 6.1943, + "mean_token_accuracy": 0.14039533361792564, + "num_tokens": 7013815.0, + "step": 3200 + }, + { + "entropy": 6.619806480407715, + "epoch": 3.4207154297917777, + "grad_norm": 0.97265625, + "learning_rate": 0.0004271393525616544, + "loss": 6.1581, + "mean_token_accuracy": 0.145014002174139, + "num_tokens": 7024212.0, + "step": 3205 + }, + { + "entropy": 6.439695072174072, + "epoch": 3.426054458088628, + "grad_norm": 0.9921875, + "learning_rate": 0.0004268276179049292, + "loss": 6.1545, + "mean_token_accuracy": 0.14754147827625275, + "num_tokens": 7035167.0, + "step": 3210 + }, + { + "entropy": 6.619048595428467, + "epoch": 3.431393486385478, + "grad_norm": 1.109375, + "learning_rate": 0.0004265153472320854, + "loss": 6.1243, + "mean_token_accuracy": 0.14939205199480057, + "num_tokens": 7045036.0, + "step": 3215 + }, + { + "entropy": 6.576473379135132, + "epoch": 3.436732514682328, + "grad_norm": 1.0625, + "learning_rate": 0.00042620254164557137, + "loss": 6.1894, + "mean_token_accuracy": 0.14514195621013642, + "num_tokens": 7054938.0, + "step": 3220 + }, + { + "entropy": 6.575670194625855, + "epoch": 3.442071542979178, + "grad_norm": 1.078125, + "learning_rate": 0.000425889202249724, + "loss": 6.1979, + "mean_token_accuracy": 0.14288137555122377, + "num_tokens": 7065645.0, + "step": 3225 + }, + { + "entropy": 6.573948764801026, + "epoch": 3.447410571276028, + "grad_norm": 0.9609375, + "learning_rate": 0.00042557533015076456, + "loss": 6.1069, + "mean_token_accuracy": 0.14459412023425103, + "num_tokens": 7075909.0, + "step": 3230 + }, + { + "entropy": 6.556999588012696, + "epoch": 3.452749599572878, + "grad_norm": 0.9921875, + "learning_rate": 0.00042526092645679535, + "loss": 6.1364, + "mean_token_accuracy": 0.15125184655189514, + "num_tokens": 7085761.0, + "step": 3235 + }, + { + "entropy": 6.537608480453491, + "epoch": 3.458088627869728, + "grad_norm": 1.0625, + "learning_rate": 0.00042494599227779523, + "loss": 6.2128, + "mean_token_accuracy": 0.1416289672255516, + "num_tokens": 7096357.0, + "step": 3240 + }, + { + "entropy": 6.5380041122436525, + "epoch": 3.4634276561665778, + "grad_norm": 0.9921875, + "learning_rate": 0.00042463052872561587, + "loss": 6.2078, + "mean_token_accuracy": 0.14668214172124863, + "num_tokens": 7107534.0, + "step": 3245 + }, + { + "entropy": 6.580185413360596, + "epoch": 3.4687666844634277, + "grad_norm": 1.0078125, + "learning_rate": 0.00042431453691397787, + "loss": 6.2045, + "mean_token_accuracy": 0.13919102773070335, + "num_tokens": 7119186.0, + "step": 3250 + }, + { + "entropy": 6.587459516525269, + "epoch": 3.4741057127602777, + "grad_norm": 0.93359375, + "learning_rate": 0.0004239980179584669, + "loss": 6.0809, + "mean_token_accuracy": 0.1546573482453823, + "num_tokens": 7130187.0, + "step": 3255 + }, + { + "entropy": 6.536509609222412, + "epoch": 3.4794447410571276, + "grad_norm": 1.046875, + "learning_rate": 0.0004236809729765295, + "loss": 6.1595, + "mean_token_accuracy": 0.14584122598171234, + "num_tokens": 7140734.0, + "step": 3260 + }, + { + "entropy": 6.479880380630493, + "epoch": 3.4847837693539776, + "grad_norm": 0.96875, + "learning_rate": 0.00042336340308746944, + "loss": 6.1511, + "mean_token_accuracy": 0.1437065228819847, + "num_tokens": 7151642.0, + "step": 3265 + }, + { + "entropy": 6.549475431442261, + "epoch": 3.4901227976508276, + "grad_norm": 0.8984375, + "learning_rate": 0.0004230453094124436, + "loss": 6.1861, + "mean_token_accuracy": 0.13861185908317566, + "num_tokens": 7162650.0, + "step": 3270 + }, + { + "entropy": 6.549925708770752, + "epoch": 3.4954618259476775, + "grad_norm": 0.94140625, + "learning_rate": 0.00042272669307445823, + "loss": 6.161, + "mean_token_accuracy": 0.14364441037178038, + "num_tokens": 7174095.0, + "step": 3275 + }, + { + "entropy": 6.569450330734253, + "epoch": 3.5008008542445275, + "grad_norm": 0.90234375, + "learning_rate": 0.00042240755519836436, + "loss": 6.1446, + "mean_token_accuracy": 0.15000987201929092, + "num_tokens": 7185923.0, + "step": 3280 + }, + { + "entropy": 6.502327013015747, + "epoch": 3.5061398825413774, + "grad_norm": 0.9296875, + "learning_rate": 0.00042208789691085464, + "loss": 6.1405, + "mean_token_accuracy": 0.14843530356884002, + "num_tokens": 7197287.0, + "step": 3285 + }, + { + "entropy": 6.547327613830566, + "epoch": 3.5114789108382274, + "grad_norm": 0.97265625, + "learning_rate": 0.000421767719340459, + "loss": 6.1417, + "mean_token_accuracy": 0.14269062951207162, + "num_tokens": 7208143.0, + "step": 3290 + }, + { + "entropy": 6.547702884674072, + "epoch": 3.5168179391350773, + "grad_norm": 0.97265625, + "learning_rate": 0.0004214470236175404, + "loss": 6.1023, + "mean_token_accuracy": 0.15332724750041962, + "num_tokens": 7218516.0, + "step": 3295 + }, + { + "entropy": 6.547658395767212, + "epoch": 3.5221569674319273, + "grad_norm": 1.03125, + "learning_rate": 0.00042112581087429133, + "loss": 6.1804, + "mean_token_accuracy": 0.14948860853910445, + "num_tokens": 7229066.0, + "step": 3300 + }, + { + "entropy": 6.561883544921875, + "epoch": 3.5274959957287773, + "grad_norm": 0.98828125, + "learning_rate": 0.00042080408224472946, + "loss": 6.1691, + "mean_token_accuracy": 0.14923621192574502, + "num_tokens": 7239612.0, + "step": 3305 + }, + { + "entropy": 6.505513095855713, + "epoch": 3.532835024025627, + "grad_norm": 1.0234375, + "learning_rate": 0.00042048183886469386, + "loss": 6.08, + "mean_token_accuracy": 0.14673556685447692, + "num_tokens": 7250266.0, + "step": 3310 + }, + { + "entropy": 6.513124561309814, + "epoch": 3.538174052322477, + "grad_norm": 1.03125, + "learning_rate": 0.00042015908187184077, + "loss": 6.1603, + "mean_token_accuracy": 0.14263225272297858, + "num_tokens": 7261183.0, + "step": 3315 + }, + { + "entropy": 6.538923549652099, + "epoch": 3.543513080619327, + "grad_norm": 1.0234375, + "learning_rate": 0.00041983581240563985, + "loss": 6.1348, + "mean_token_accuracy": 0.1486171156167984, + "num_tokens": 7271557.0, + "step": 3320 + }, + { + "entropy": 6.535774898529053, + "epoch": 3.5488521089161775, + "grad_norm": 0.95703125, + "learning_rate": 0.0004195120316073698, + "loss": 6.1998, + "mean_token_accuracy": 0.1453086718916893, + "num_tokens": 7282540.0, + "step": 3325 + }, + { + "entropy": 6.511842823028564, + "epoch": 3.554191137213027, + "grad_norm": 1.0390625, + "learning_rate": 0.00041918774062011467, + "loss": 6.1107, + "mean_token_accuracy": 0.14593104943633078, + "num_tokens": 7293568.0, + "step": 3330 + }, + { + "entropy": 6.523481845855713, + "epoch": 3.5595301655098774, + "grad_norm": 0.98046875, + "learning_rate": 0.00041886294058875975, + "loss": 6.2032, + "mean_token_accuracy": 0.1386525124311447, + "num_tokens": 7304745.0, + "step": 3335 + }, + { + "entropy": 6.553685283660888, + "epoch": 3.564869193806727, + "grad_norm": 0.9375, + "learning_rate": 0.0004185376326599874, + "loss": 6.2036, + "mean_token_accuracy": 0.14021066576242447, + "num_tokens": 7316547.0, + "step": 3340 + }, + { + "entropy": 6.578783273696899, + "epoch": 3.5702082221035774, + "grad_norm": 1.015625, + "learning_rate": 0.00041821181798227305, + "loss": 6.2193, + "mean_token_accuracy": 0.14152044877409936, + "num_tokens": 7328493.0, + "step": 3345 + }, + { + "entropy": 6.494209146499633, + "epoch": 3.575547250400427, + "grad_norm": 1.0234375, + "learning_rate": 0.0004178854977058812, + "loss": 6.1514, + "mean_token_accuracy": 0.14675125181674958, + "num_tokens": 7338831.0, + "step": 3350 + }, + { + "entropy": 6.58004937171936, + "epoch": 3.5808862786972773, + "grad_norm": 0.9375, + "learning_rate": 0.0004175586729828614, + "loss": 6.2568, + "mean_token_accuracy": 0.13772836774587632, + "num_tokens": 7350884.0, + "step": 3355 + }, + { + "entropy": 6.56378321647644, + "epoch": 3.5862253069941272, + "grad_norm": 1.0625, + "learning_rate": 0.0004172313449670439, + "loss": 6.1245, + "mean_token_accuracy": 0.14097074419260025, + "num_tokens": 7360674.0, + "step": 3360 + }, + { + "entropy": 6.479941940307617, + "epoch": 3.591564335290977, + "grad_norm": 0.9140625, + "learning_rate": 0.00041690351481403606, + "loss": 6.1567, + "mean_token_accuracy": 0.1383296102285385, + "num_tokens": 7371965.0, + "step": 3365 + }, + { + "entropy": 6.642097520828247, + "epoch": 3.596903363587827, + "grad_norm": 0.9765625, + "learning_rate": 0.0004165751836812178, + "loss": 6.241, + "mean_token_accuracy": 0.145929317176342, + "num_tokens": 7383649.0, + "step": 3370 + }, + { + "entropy": 6.6187879085540775, + "epoch": 3.602242391884677, + "grad_norm": 0.99609375, + "learning_rate": 0.0004162463527277378, + "loss": 6.1849, + "mean_token_accuracy": 0.1447222724556923, + "num_tokens": 7393692.0, + "step": 3375 + }, + { + "entropy": 6.562582874298096, + "epoch": 3.607581420181527, + "grad_norm": 0.953125, + "learning_rate": 0.00041591702311450924, + "loss": 6.2116, + "mean_token_accuracy": 0.13732682764530182, + "num_tokens": 7404149.0, + "step": 3380 + }, + { + "entropy": 6.533840751647949, + "epoch": 3.612920448478377, + "grad_norm": 0.984375, + "learning_rate": 0.0004155871960042059, + "loss": 6.1192, + "mean_token_accuracy": 0.1485688403248787, + "num_tokens": 7415011.0, + "step": 3385 + }, + { + "entropy": 6.53869137763977, + "epoch": 3.618259476775227, + "grad_norm": 0.93359375, + "learning_rate": 0.00041525687256125786, + "loss": 6.1796, + "mean_token_accuracy": 0.14087817072868347, + "num_tokens": 7426297.0, + "step": 3390 + }, + { + "entropy": 6.520381307601928, + "epoch": 3.623598505072077, + "grad_norm": 1.0078125, + "learning_rate": 0.0004149260539518475, + "loss": 6.054, + "mean_token_accuracy": 0.1445208042860031, + "num_tokens": 7437718.0, + "step": 3395 + }, + { + "entropy": 6.488810968399048, + "epoch": 3.628937533368927, + "grad_norm": 1.046875, + "learning_rate": 0.00041459474134390527, + "loss": 6.1478, + "mean_token_accuracy": 0.1479748159646988, + "num_tokens": 7448395.0, + "step": 3400 + }, + { + "entropy": 6.43403959274292, + "epoch": 3.634276561665777, + "grad_norm": 0.98828125, + "learning_rate": 0.00041426293590710587, + "loss": 6.1326, + "mean_token_accuracy": 0.15362447500228882, + "num_tokens": 7458374.0, + "step": 3405 + }, + { + "entropy": 6.588842344284058, + "epoch": 3.639615589962627, + "grad_norm": 0.90234375, + "learning_rate": 0.00041393063881286346, + "loss": 6.1325, + "mean_token_accuracy": 0.15165682807564734, + "num_tokens": 7469386.0, + "step": 3410 + }, + { + "entropy": 6.571090030670166, + "epoch": 3.6449546182594768, + "grad_norm": 0.921875, + "learning_rate": 0.0004135978512343284, + "loss": 6.1911, + "mean_token_accuracy": 0.1359236106276512, + "num_tokens": 7479788.0, + "step": 3415 + }, + { + "entropy": 6.470835828781128, + "epoch": 3.6502936465563267, + "grad_norm": 0.97265625, + "learning_rate": 0.00041326457434638246, + "loss": 6.1273, + "mean_token_accuracy": 0.14886193200945855, + "num_tokens": 7490329.0, + "step": 3420 + }, + { + "entropy": 6.532852983474731, + "epoch": 3.6556326748531767, + "grad_norm": 0.86328125, + "learning_rate": 0.000412930809325635, + "loss": 6.175, + "mean_token_accuracy": 0.139870285987854, + "num_tokens": 7502206.0, + "step": 3425 + }, + { + "entropy": 6.530126094818115, + "epoch": 3.6609717031500266, + "grad_norm": 0.921875, + "learning_rate": 0.00041259655735041847, + "loss": 6.1883, + "mean_token_accuracy": 0.14210368692874908, + "num_tokens": 7513704.0, + "step": 3430 + }, + { + "entropy": 6.4876954555511475, + "epoch": 3.6663107314468766, + "grad_norm": 0.96875, + "learning_rate": 0.00041226181960078473, + "loss": 6.0956, + "mean_token_accuracy": 0.1456264317035675, + "num_tokens": 7524320.0, + "step": 3435 + }, + { + "entropy": 6.542640733718872, + "epoch": 3.6716497597437265, + "grad_norm": 1.1640625, + "learning_rate": 0.0004119265972585005, + "loss": 6.1752, + "mean_token_accuracy": 0.14658585488796233, + "num_tokens": 7533962.0, + "step": 3440 + }, + { + "entropy": 6.579928541183472, + "epoch": 3.6769887880405765, + "grad_norm": 0.96484375, + "learning_rate": 0.00041159089150704325, + "loss": 6.2128, + "mean_token_accuracy": 0.14553995281457902, + "num_tokens": 7545841.0, + "step": 3445 + }, + { + "entropy": 6.596597528457641, + "epoch": 3.6823278163374265, + "grad_norm": 1.0390625, + "learning_rate": 0.00041125470353159735, + "loss": 6.1607, + "mean_token_accuracy": 0.14802061766386032, + "num_tokens": 7555533.0, + "step": 3450 + }, + { + "entropy": 6.503862905502319, + "epoch": 3.6876668446342764, + "grad_norm": 0.91796875, + "learning_rate": 0.00041091803451904927, + "loss": 6.1554, + "mean_token_accuracy": 0.1387634038925171, + "num_tokens": 7566228.0, + "step": 3455 + }, + { + "entropy": 6.505353736877441, + "epoch": 3.693005872931127, + "grad_norm": 0.90625, + "learning_rate": 0.00041058088565798403, + "loss": 6.198, + "mean_token_accuracy": 0.14261291325092315, + "num_tokens": 7577694.0, + "step": 3460 + }, + { + "entropy": 6.62959246635437, + "epoch": 3.6983449012279763, + "grad_norm": 1.0234375, + "learning_rate": 0.00041024325813868065, + "loss": 6.1753, + "mean_token_accuracy": 0.14205058813095092, + "num_tokens": 7588141.0, + "step": 3465 + }, + { + "entropy": 6.598307275772095, + "epoch": 3.7036839295248267, + "grad_norm": 0.96875, + "learning_rate": 0.00040990515315310794, + "loss": 6.1758, + "mean_token_accuracy": 0.14348702132701874, + "num_tokens": 7599831.0, + "step": 3470 + }, + { + "entropy": 6.537150287628174, + "epoch": 3.7090229578216762, + "grad_norm": 1.09375, + "learning_rate": 0.00040956657189492046, + "loss": 6.0966, + "mean_token_accuracy": 0.14398248717188836, + "num_tokens": 7609567.0, + "step": 3475 + }, + { + "entropy": 6.556712341308594, + "epoch": 3.7143619861185266, + "grad_norm": 0.9296875, + "learning_rate": 0.0004092275155594541, + "loss": 6.2319, + "mean_token_accuracy": 0.13728955760598183, + "num_tokens": 7620722.0, + "step": 3480 + }, + { + "entropy": 6.567393589019775, + "epoch": 3.719701014415376, + "grad_norm": 0.88671875, + "learning_rate": 0.0004088879853437221, + "loss": 6.25, + "mean_token_accuracy": 0.13819843381643296, + "num_tokens": 7633036.0, + "step": 3485 + }, + { + "entropy": 6.479170513153076, + "epoch": 3.7250400427122266, + "grad_norm": 1.0, + "learning_rate": 0.00040854798244641067, + "loss": 6.1627, + "mean_token_accuracy": 0.14585598707199096, + "num_tokens": 7642789.0, + "step": 3490 + }, + { + "entropy": 6.506835269927978, + "epoch": 3.7303790710090765, + "grad_norm": 0.96484375, + "learning_rate": 0.0004082075080678748, + "loss": 6.1908, + "mean_token_accuracy": 0.14425090700387955, + "num_tokens": 7654234.0, + "step": 3495 + }, + { + "entropy": 6.539835405349732, + "epoch": 3.7357180993059265, + "grad_norm": 1.0390625, + "learning_rate": 0.00040786656341013376, + "loss": 6.1273, + "mean_token_accuracy": 0.14244442880153657, + "num_tokens": 7665994.0, + "step": 3500 + }, + { + "epoch": 3.7357180993059265, + "eval_entropy": 6.402802858724223, + "eval_loss": 6.652650833129883, + "eval_mean_token_accuracy": 0.12644047731315936, + "eval_num_tokens": 7665994.0, + "eval_runtime": 1.8024, + "eval_samples_per_second": 1708.804, + "eval_steps_per_second": 213.6, + "step": 3500 + }, + { + "entropy": 6.511250829696655, + "epoch": 3.7410571276027764, + "grad_norm": 1.0625, + "learning_rate": 0.00040752514967686747, + "loss": 6.084, + "mean_token_accuracy": 0.14790418446063996, + "num_tokens": 7676813.0, + "step": 3505 + }, + { + "entropy": 6.438376808166504, + "epoch": 3.7463961558996264, + "grad_norm": 0.92578125, + "learning_rate": 0.0004071832680734118, + "loss": 6.1267, + "mean_token_accuracy": 0.1470203071832657, + "num_tokens": 7687775.0, + "step": 3510 + }, + { + "entropy": 6.558165264129639, + "epoch": 3.7517351841964763, + "grad_norm": 0.953125, + "learning_rate": 0.00040684091980675426, + "loss": 6.2229, + "mean_token_accuracy": 0.1389820992946625, + "num_tokens": 7698909.0, + "step": 3515 + }, + { + "entropy": 6.513540887832642, + "epoch": 3.7570742124933263, + "grad_norm": 1.046875, + "learning_rate": 0.00040649810608552994, + "loss": 6.132, + "mean_token_accuracy": 0.1510733187198639, + "num_tokens": 7708783.0, + "step": 3520 + }, + { + "entropy": 6.544998741149902, + "epoch": 3.7624132407901762, + "grad_norm": 1.1015625, + "learning_rate": 0.00040615482812001726, + "loss": 6.174, + "mean_token_accuracy": 0.14355052411556243, + "num_tokens": 7719010.0, + "step": 3525 + }, + { + "entropy": 6.5300548553466795, + "epoch": 3.767752269087026, + "grad_norm": 0.91796875, + "learning_rate": 0.0004058110871221335, + "loss": 6.2019, + "mean_token_accuracy": 0.1421898864209652, + "num_tokens": 7730231.0, + "step": 3530 + }, + { + "entropy": 6.484360885620117, + "epoch": 3.773091297383876, + "grad_norm": 0.953125, + "learning_rate": 0.00040546688430543074, + "loss": 6.1209, + "mean_token_accuracy": 0.14670493602752685, + "num_tokens": 7741656.0, + "step": 3535 + }, + { + "entropy": 6.542676115036011, + "epoch": 3.778430325680726, + "grad_norm": 0.98046875, + "learning_rate": 0.00040512222088509147, + "loss": 6.1385, + "mean_token_accuracy": 0.1478129133582115, + "num_tokens": 7751956.0, + "step": 3540 + }, + { + "entropy": 6.508578777313232, + "epoch": 3.783769353977576, + "grad_norm": 0.9609375, + "learning_rate": 0.0004047770980779242, + "loss": 6.1029, + "mean_token_accuracy": 0.1496267482638359, + "num_tokens": 7761944.0, + "step": 3545 + }, + { + "entropy": 6.446523857116699, + "epoch": 3.789108382274426, + "grad_norm": 1.0546875, + "learning_rate": 0.0004044315171023593, + "loss": 6.0753, + "mean_token_accuracy": 0.14807819575071335, + "num_tokens": 7771370.0, + "step": 3550 + }, + { + "entropy": 6.563878965377808, + "epoch": 3.794447410571276, + "grad_norm": 0.8046875, + "learning_rate": 0.0004040854791784448, + "loss": 6.2957, + "mean_token_accuracy": 0.13254996612668038, + "num_tokens": 7783615.0, + "step": 3555 + }, + { + "entropy": 6.600985717773438, + "epoch": 3.799786438868126, + "grad_norm": 0.93359375, + "learning_rate": 0.0004037389855278419, + "loss": 6.1559, + "mean_token_accuracy": 0.1492430627346039, + "num_tokens": 7794236.0, + "step": 3560 + }, + { + "entropy": 6.468111991882324, + "epoch": 3.805125467164976, + "grad_norm": 0.9921875, + "learning_rate": 0.00040339203737382065, + "loss": 6.166, + "mean_token_accuracy": 0.14735100716352462, + "num_tokens": 7806158.0, + "step": 3565 + }, + { + "entropy": 6.527578115463257, + "epoch": 3.810464495461826, + "grad_norm": 1.0234375, + "learning_rate": 0.0004030446359412556, + "loss": 6.12, + "mean_token_accuracy": 0.14553360044956207, + "num_tokens": 7818283.0, + "step": 3570 + }, + { + "entropy": 6.579574012756348, + "epoch": 3.815803523758676, + "grad_norm": 1.0078125, + "learning_rate": 0.0004026967824566218, + "loss": 6.1631, + "mean_token_accuracy": 0.1417527861893177, + "num_tokens": 7828683.0, + "step": 3575 + }, + { + "entropy": 6.49411449432373, + "epoch": 3.8211425520555258, + "grad_norm": 0.9765625, + "learning_rate": 0.0004023484781479902, + "loss": 6.1374, + "mean_token_accuracy": 0.14596590846776963, + "num_tokens": 7839116.0, + "step": 3580 + }, + { + "entropy": 6.544578886032104, + "epoch": 3.8264815803523757, + "grad_norm": 0.96484375, + "learning_rate": 0.0004019997242450231, + "loss": 6.1942, + "mean_token_accuracy": 0.1430832676589489, + "num_tokens": 7850300.0, + "step": 3585 + }, + { + "entropy": 6.535199403762817, + "epoch": 3.8318206086492257, + "grad_norm": 0.94921875, + "learning_rate": 0.0004016505219789703, + "loss": 6.096, + "mean_token_accuracy": 0.145581466704607, + "num_tokens": 7861432.0, + "step": 3590 + }, + { + "entropy": 6.481894445419312, + "epoch": 3.837159636946076, + "grad_norm": 0.96875, + "learning_rate": 0.0004013008725826644, + "loss": 6.19, + "mean_token_accuracy": 0.145276015996933, + "num_tokens": 7872472.0, + "step": 3595 + }, + { + "entropy": 6.576520872116089, + "epoch": 3.8424986652429256, + "grad_norm": 1.03125, + "learning_rate": 0.0004009507772905167, + "loss": 6.1948, + "mean_token_accuracy": 0.146095909178257, + "num_tokens": 7883554.0, + "step": 3600 + }, + { + "entropy": 6.5780809879302975, + "epoch": 3.847837693539776, + "grad_norm": 0.8671875, + "learning_rate": 0.00040060023733851254, + "loss": 6.1698, + "mean_token_accuracy": 0.14025285094976425, + "num_tokens": 7894853.0, + "step": 3605 + }, + { + "entropy": 6.464986371994018, + "epoch": 3.8531767218366255, + "grad_norm": 1.0078125, + "learning_rate": 0.00040024925396420707, + "loss": 6.1337, + "mean_token_accuracy": 0.1404825381934643, + "num_tokens": 7905459.0, + "step": 3610 + }, + { + "entropy": 6.486498022079468, + "epoch": 3.858515750133476, + "grad_norm": 0.9609375, + "learning_rate": 0.00039989782840672123, + "loss": 6.0861, + "mean_token_accuracy": 0.14591265097260475, + "num_tokens": 7916646.0, + "step": 3615 + }, + { + "entropy": 6.47977614402771, + "epoch": 3.8638547784303254, + "grad_norm": 0.92578125, + "learning_rate": 0.0003995459619067366, + "loss": 6.1397, + "mean_token_accuracy": 0.14808139503002166, + "num_tokens": 7928119.0, + "step": 3620 + }, + { + "entropy": 6.526146650314331, + "epoch": 3.869193806727176, + "grad_norm": 1.0234375, + "learning_rate": 0.00039919365570649187, + "loss": 6.2565, + "mean_token_accuracy": 0.13531762585043908, + "num_tokens": 7939295.0, + "step": 3625 + }, + { + "entropy": 6.55569486618042, + "epoch": 3.874532835024026, + "grad_norm": 0.94921875, + "learning_rate": 0.00039884091104977774, + "loss": 6.0711, + "mean_token_accuracy": 0.14545215293765068, + "num_tokens": 7950094.0, + "step": 3630 + }, + { + "entropy": 6.515868520736694, + "epoch": 3.8798718633208757, + "grad_norm": 1.015625, + "learning_rate": 0.00039848772918193315, + "loss": 6.0973, + "mean_token_accuracy": 0.1533176302909851, + "num_tokens": 7960767.0, + "step": 3635 + }, + { + "entropy": 6.44457221031189, + "epoch": 3.8852108916177257, + "grad_norm": 0.97265625, + "learning_rate": 0.0003981341113498404, + "loss": 6.1581, + "mean_token_accuracy": 0.14428275674581528, + "num_tokens": 7971660.0, + "step": 3640 + }, + { + "entropy": 6.5656482696533205, + "epoch": 3.8905499199145757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003977800588019209, + "loss": 6.158, + "mean_token_accuracy": 0.1490553878247738, + "num_tokens": 7983337.0, + "step": 3645 + }, + { + "entropy": 6.527936792373657, + "epoch": 3.8958889482114256, + "grad_norm": 0.84765625, + "learning_rate": 0.0003974255727881307, + "loss": 6.1845, + "mean_token_accuracy": 0.14226604625582695, + "num_tokens": 7994540.0, + "step": 3650 + }, + { + "entropy": 6.515545797348023, + "epoch": 3.9012279765082756, + "grad_norm": 0.96484375, + "learning_rate": 0.0003970706545599566, + "loss": 6.0988, + "mean_token_accuracy": 0.1402305468916893, + "num_tokens": 8005396.0, + "step": 3655 + }, + { + "entropy": 6.4922425746917725, + "epoch": 3.9065670048051255, + "grad_norm": 0.96484375, + "learning_rate": 0.00039671530537041094, + "loss": 6.1029, + "mean_token_accuracy": 0.15106893181800843, + "num_tokens": 8015411.0, + "step": 3660 + }, + { + "entropy": 6.487470006942749, + "epoch": 3.9119060331019755, + "grad_norm": 1.015625, + "learning_rate": 0.00039635952647402756, + "loss": 6.0656, + "mean_token_accuracy": 0.15119688287377359, + "num_tokens": 8025720.0, + "step": 3665 + }, + { + "entropy": 6.427022790908813, + "epoch": 3.9172450613988254, + "grad_norm": 1.0, + "learning_rate": 0.0003960033191268574, + "loss": 6.1439, + "mean_token_accuracy": 0.1427379496395588, + "num_tokens": 8036081.0, + "step": 3670 + }, + { + "entropy": 6.473222827911377, + "epoch": 3.9225840896956754, + "grad_norm": 0.96875, + "learning_rate": 0.0003956466845864641, + "loss": 6.0318, + "mean_token_accuracy": 0.14493608772754668, + "num_tokens": 8046714.0, + "step": 3675 + }, + { + "entropy": 6.415006065368653, + "epoch": 3.9279231179925254, + "grad_norm": 0.91796875, + "learning_rate": 0.0003952896241119194, + "loss": 6.0935, + "mean_token_accuracy": 0.15388759225606918, + "num_tokens": 8057174.0, + "step": 3680 + }, + { + "entropy": 6.449224328994751, + "epoch": 3.9332621462893753, + "grad_norm": 1.0390625, + "learning_rate": 0.0003949321389637986, + "loss": 6.0499, + "mean_token_accuracy": 0.15181737542152404, + "num_tokens": 8067697.0, + "step": 3685 + }, + { + "entropy": 6.493015480041504, + "epoch": 3.9386011745862253, + "grad_norm": 1.0, + "learning_rate": 0.0003945742304041766, + "loss": 6.1459, + "mean_token_accuracy": 0.14583780020475387, + "num_tokens": 8077800.0, + "step": 3690 + }, + { + "entropy": 6.556552982330322, + "epoch": 3.9439402028830752, + "grad_norm": 0.8515625, + "learning_rate": 0.0003942158996966229, + "loss": 6.2258, + "mean_token_accuracy": 0.1387764908373356, + "num_tokens": 8090319.0, + "step": 3695 + }, + { + "entropy": 6.55411057472229, + "epoch": 3.949279231179925, + "grad_norm": 1.015625, + "learning_rate": 0.0003938571481061975, + "loss": 6.1572, + "mean_token_accuracy": 0.14131653159856797, + "num_tokens": 8100498.0, + "step": 3700 + }, + { + "entropy": 6.481984329223633, + "epoch": 3.954618259476775, + "grad_norm": 1.1171875, + "learning_rate": 0.00039349797689944613, + "loss": 6.0891, + "mean_token_accuracy": 0.14142293035984038, + "num_tokens": 8110506.0, + "step": 3705 + }, + { + "entropy": 6.5264497756958, + "epoch": 3.959957287773625, + "grad_norm": 0.90234375, + "learning_rate": 0.00039313838734439605, + "loss": 6.1093, + "mean_token_accuracy": 0.14747968167066575, + "num_tokens": 8121999.0, + "step": 3710 + }, + { + "entropy": 6.481518793106079, + "epoch": 3.965296316070475, + "grad_norm": 0.94140625, + "learning_rate": 0.00039277838071055145, + "loss": 6.1913, + "mean_token_accuracy": 0.14093517512083054, + "num_tokens": 8132884.0, + "step": 3715 + }, + { + "entropy": 6.576885175704956, + "epoch": 3.970635344367325, + "grad_norm": 1.0859375, + "learning_rate": 0.000392417958268889, + "loss": 6.1302, + "mean_token_accuracy": 0.14702757447957993, + "num_tokens": 8143344.0, + "step": 3720 + }, + { + "entropy": 6.490785789489746, + "epoch": 3.975974372664175, + "grad_norm": 0.984375, + "learning_rate": 0.00039205712129185337, + "loss": 6.1281, + "mean_token_accuracy": 0.14834580570459366, + "num_tokens": 8154658.0, + "step": 3725 + }, + { + "entropy": 6.4275837421417235, + "epoch": 3.981313400961025, + "grad_norm": 0.875, + "learning_rate": 0.0003916958710533528, + "loss": 6.082, + "mean_token_accuracy": 0.14838915020227433, + "num_tokens": 8166057.0, + "step": 3730 + }, + { + "entropy": 6.574824666976928, + "epoch": 3.986652429257875, + "grad_norm": 0.9453125, + "learning_rate": 0.0003913342088287541, + "loss": 6.106, + "mean_token_accuracy": 0.14580099284648895, + "num_tokens": 8176470.0, + "step": 3735 + }, + { + "entropy": 6.523640108108521, + "epoch": 3.9919914575547253, + "grad_norm": 0.984375, + "learning_rate": 0.000390972135894879, + "loss": 6.1629, + "mean_token_accuracy": 0.13956414237618447, + "num_tokens": 8186458.0, + "step": 3740 + }, + { + "entropy": 6.550470685958862, + "epoch": 3.997330485851575, + "grad_norm": 0.984375, + "learning_rate": 0.00039060965352999926, + "loss": 6.25, + "mean_token_accuracy": 0.13434221893548964, + "num_tokens": 8197826.0, + "step": 3745 + }, + { + "entropy": 6.523906389872233, + "epoch": 4.00213561131874, + "grad_norm": 0.890625, + "learning_rate": 0.0003902467630138317, + "loss": 6.0554, + "mean_token_accuracy": 0.14978978451755312, + "num_tokens": 8208809.0, + "step": 3750 + }, + { + "entropy": 6.455614471435547, + "epoch": 4.00747463961559, + "grad_norm": 1.0390625, + "learning_rate": 0.00038988346562753435, + "loss": 5.8155, + "mean_token_accuracy": 0.16545109897851945, + "num_tokens": 8218740.0, + "step": 3755 + }, + { + "entropy": 6.479466819763184, + "epoch": 4.0128136679124395, + "grad_norm": 0.9140625, + "learning_rate": 0.00038951976265370176, + "loss": 5.8186, + "mean_token_accuracy": 0.1650289312005043, + "num_tokens": 8230360.0, + "step": 3760 + }, + { + "entropy": 6.4658434867858885, + "epoch": 4.01815269620929, + "grad_norm": 0.92578125, + "learning_rate": 0.00038915565537636003, + "loss": 5.8426, + "mean_token_accuracy": 0.16136547774076462, + "num_tokens": 8240886.0, + "step": 3765 + }, + { + "entropy": 6.439322376251221, + "epoch": 4.0234917245061395, + "grad_norm": 1.0234375, + "learning_rate": 0.000388791145080963, + "loss": 5.8101, + "mean_token_accuracy": 0.16565286070108415, + "num_tokens": 8252103.0, + "step": 3770 + }, + { + "entropy": 6.506541919708252, + "epoch": 4.02883075280299, + "grad_norm": 0.9140625, + "learning_rate": 0.0003884262330543872, + "loss": 5.9089, + "mean_token_accuracy": 0.15189366191625595, + "num_tokens": 8262890.0, + "step": 3775 + }, + { + "entropy": 6.481657361984253, + "epoch": 4.03416978109984, + "grad_norm": 0.9453125, + "learning_rate": 0.00038806092058492727, + "loss": 5.8308, + "mean_token_accuracy": 0.15886562168598176, + "num_tokens": 8273562.0, + "step": 3780 + }, + { + "entropy": 6.5099996566772464, + "epoch": 4.03950880939669, + "grad_norm": 0.9453125, + "learning_rate": 0.0003876952089622918, + "loss": 5.8967, + "mean_token_accuracy": 0.15011855959892273, + "num_tokens": 8285104.0, + "step": 3785 + }, + { + "entropy": 6.495954179763794, + "epoch": 4.04484783769354, + "grad_norm": 0.953125, + "learning_rate": 0.0003873290994775984, + "loss": 5.8799, + "mean_token_accuracy": 0.15607954263687135, + "num_tokens": 8296760.0, + "step": 3790 + }, + { + "entropy": 6.490471601486206, + "epoch": 4.05018686599039, + "grad_norm": 0.94921875, + "learning_rate": 0.00038696259342336966, + "loss": 5.8882, + "mean_token_accuracy": 0.16234036087989806, + "num_tokens": 8306929.0, + "step": 3795 + }, + { + "entropy": 6.442892169952392, + "epoch": 4.05552589428724, + "grad_norm": 1.0546875, + "learning_rate": 0.00038659569209352766, + "loss": 5.9147, + "mean_token_accuracy": 0.15829430669546127, + "num_tokens": 8316736.0, + "step": 3800 + }, + { + "entropy": 6.505135583877563, + "epoch": 4.06086492258409, + "grad_norm": 0.9921875, + "learning_rate": 0.00038622839678339034, + "loss": 5.8808, + "mean_token_accuracy": 0.157439686357975, + "num_tokens": 8327688.0, + "step": 3805 + }, + { + "entropy": 6.4566991329193115, + "epoch": 4.06620395088094, + "grad_norm": 1.0859375, + "learning_rate": 0.00038586070878966663, + "loss": 5.8106, + "mean_token_accuracy": 0.16600643396377562, + "num_tokens": 8337986.0, + "step": 3810 + }, + { + "entropy": 6.422807598114014, + "epoch": 4.0715429791777895, + "grad_norm": 0.9765625, + "learning_rate": 0.0003854926294104514, + "loss": 5.8251, + "mean_token_accuracy": 0.1629556953907013, + "num_tokens": 8348473.0, + "step": 3815 + }, + { + "entropy": 6.492142152786255, + "epoch": 4.07688200747464, + "grad_norm": 1.1015625, + "learning_rate": 0.0003851241599452218, + "loss": 5.8228, + "mean_token_accuracy": 0.15974331200122832, + "num_tokens": 8359563.0, + "step": 3820 + }, + { + "entropy": 6.476008796691895, + "epoch": 4.082221035771489, + "grad_norm": 1.0, + "learning_rate": 0.00038475530169483185, + "loss": 5.941, + "mean_token_accuracy": 0.15269246846437454, + "num_tokens": 8370965.0, + "step": 3825 + }, + { + "entropy": 6.416006135940552, + "epoch": 4.08756006406834, + "grad_norm": 0.90625, + "learning_rate": 0.00038438605596150807, + "loss": 5.9162, + "mean_token_accuracy": 0.15478795990347863, + "num_tokens": 8382606.0, + "step": 3830 + }, + { + "entropy": 6.487174367904663, + "epoch": 4.092899092365189, + "grad_norm": 1.0859375, + "learning_rate": 0.00038401642404884513, + "loss": 5.8667, + "mean_token_accuracy": 0.1620238795876503, + "num_tokens": 8392618.0, + "step": 3835 + }, + { + "entropy": 6.451450061798096, + "epoch": 4.09823812066204, + "grad_norm": 1.09375, + "learning_rate": 0.00038364640726180096, + "loss": 5.827, + "mean_token_accuracy": 0.15819164365530014, + "num_tokens": 8403210.0, + "step": 3840 + }, + { + "entropy": 6.457551288604736, + "epoch": 4.103577148958889, + "grad_norm": 1.078125, + "learning_rate": 0.00038327600690669244, + "loss": 5.9271, + "mean_token_accuracy": 0.15056874752044677, + "num_tokens": 8413838.0, + "step": 3845 + }, + { + "entropy": 6.452711200714111, + "epoch": 4.10891617725574, + "grad_norm": 0.9765625, + "learning_rate": 0.00038290522429119034, + "loss": 5.8383, + "mean_token_accuracy": 0.1614674672484398, + "num_tokens": 8425282.0, + "step": 3850 + }, + { + "entropy": 6.410413837432861, + "epoch": 4.114255205552589, + "grad_norm": 1.0390625, + "learning_rate": 0.00038253406072431525, + "loss": 5.8392, + "mean_token_accuracy": 0.16616302728652954, + "num_tokens": 8436762.0, + "step": 3855 + }, + { + "entropy": 6.500837230682373, + "epoch": 4.11959423384944, + "grad_norm": 1.0, + "learning_rate": 0.00038216251751643245, + "loss": 5.9146, + "mean_token_accuracy": 0.15862398594617844, + "num_tokens": 8448636.0, + "step": 3860 + }, + { + "entropy": 6.445639896392822, + "epoch": 4.124933262146289, + "grad_norm": 1.03125, + "learning_rate": 0.0003817905959792477, + "loss": 5.8186, + "mean_token_accuracy": 0.16568127423524856, + "num_tokens": 8459730.0, + "step": 3865 + }, + { + "entropy": 6.432496213912964, + "epoch": 4.1302722904431395, + "grad_norm": 0.95703125, + "learning_rate": 0.0003814182974258023, + "loss": 5.836, + "mean_token_accuracy": 0.16377303451299668, + "num_tokens": 8470628.0, + "step": 3870 + }, + { + "entropy": 6.410172033309936, + "epoch": 4.135611318739989, + "grad_norm": 1.0390625, + "learning_rate": 0.00038104562317046873, + "loss": 5.8404, + "mean_token_accuracy": 0.1582864850759506, + "num_tokens": 8480785.0, + "step": 3875 + }, + { + "entropy": 6.400460815429687, + "epoch": 4.140950347036839, + "grad_norm": 1.1484375, + "learning_rate": 0.0003806725745289455, + "loss": 5.7772, + "mean_token_accuracy": 0.16919722110033036, + "num_tokens": 8491596.0, + "step": 3880 + }, + { + "entropy": 6.427718925476074, + "epoch": 4.146289375333689, + "grad_norm": 1.0703125, + "learning_rate": 0.00038029915281825334, + "loss": 5.8855, + "mean_token_accuracy": 0.1604493737220764, + "num_tokens": 8502458.0, + "step": 3885 + }, + { + "entropy": 6.4377576351165775, + "epoch": 4.151628403630539, + "grad_norm": 0.98828125, + "learning_rate": 0.00037992535935672974, + "loss": 5.8356, + "mean_token_accuracy": 0.1650594249367714, + "num_tokens": 8513018.0, + "step": 3890 + }, + { + "entropy": 6.484112358093261, + "epoch": 4.156967431927389, + "grad_norm": 0.91015625, + "learning_rate": 0.00037955119546402474, + "loss": 5.8773, + "mean_token_accuracy": 0.16013461947441102, + "num_tokens": 8523757.0, + "step": 3895 + }, + { + "entropy": 6.320549201965332, + "epoch": 4.162306460224239, + "grad_norm": 1.0234375, + "learning_rate": 0.0003791766624610961, + "loss": 5.7758, + "mean_token_accuracy": 0.16299208998680115, + "num_tokens": 8535446.0, + "step": 3900 + }, + { + "entropy": 6.370971965789795, + "epoch": 4.167645488521089, + "grad_norm": 0.9609375, + "learning_rate": 0.0003788017616702048, + "loss": 5.7648, + "mean_token_accuracy": 0.168772192299366, + "num_tokens": 8545868.0, + "step": 3905 + }, + { + "entropy": 6.428561162948609, + "epoch": 4.172984516817939, + "grad_norm": 0.9453125, + "learning_rate": 0.0003784264944149102, + "loss": 5.8338, + "mean_token_accuracy": 0.15697346329689027, + "num_tokens": 8556465.0, + "step": 3910 + }, + { + "entropy": 6.4201459884643555, + "epoch": 4.1783235451147895, + "grad_norm": 0.91015625, + "learning_rate": 0.0003780508620200655, + "loss": 5.866, + "mean_token_accuracy": 0.16035554856061934, + "num_tokens": 8568227.0, + "step": 3915 + }, + { + "entropy": 6.408050775527954, + "epoch": 4.183662573411639, + "grad_norm": 1.0, + "learning_rate": 0.0003776748658118128, + "loss": 5.8827, + "mean_token_accuracy": 0.16062171459198, + "num_tokens": 8579309.0, + "step": 3920 + }, + { + "entropy": 6.407215690612793, + "epoch": 4.1890016017084895, + "grad_norm": 0.94140625, + "learning_rate": 0.00037729850711757903, + "loss": 5.8097, + "mean_token_accuracy": 0.16254528909921645, + "num_tokens": 8590487.0, + "step": 3925 + }, + { + "entropy": 6.501875162124634, + "epoch": 4.194340630005339, + "grad_norm": 1.0625, + "learning_rate": 0.0003769217872660703, + "loss": 5.9053, + "mean_token_accuracy": 0.15888245403766632, + "num_tokens": 8600940.0, + "step": 3930 + }, + { + "entropy": 6.375162887573242, + "epoch": 4.199679658302189, + "grad_norm": 0.97265625, + "learning_rate": 0.00037654470758726816, + "loss": 5.6835, + "mean_token_accuracy": 0.1780616506934166, + "num_tokens": 8611322.0, + "step": 3935 + }, + { + "entropy": 6.3994794368743895, + "epoch": 4.205018686599039, + "grad_norm": 1.015625, + "learning_rate": 0.00037616726941242445, + "loss": 5.8733, + "mean_token_accuracy": 0.15676409006118774, + "num_tokens": 8622055.0, + "step": 3940 + }, + { + "entropy": 6.383853530883789, + "epoch": 4.210357714895889, + "grad_norm": 0.9921875, + "learning_rate": 0.0003757894740740565, + "loss": 5.9048, + "mean_token_accuracy": 0.16065036207437516, + "num_tokens": 8633515.0, + "step": 3945 + }, + { + "entropy": 6.382141780853272, + "epoch": 4.215696743192739, + "grad_norm": 1.03125, + "learning_rate": 0.0003754113229059426, + "loss": 5.827, + "mean_token_accuracy": 0.16290465593338013, + "num_tokens": 8644199.0, + "step": 3950 + }, + { + "entropy": 6.386103391647339, + "epoch": 4.221035771489589, + "grad_norm": 1.1171875, + "learning_rate": 0.0003750328172431176, + "loss": 5.902, + "mean_token_accuracy": 0.15742135792970657, + "num_tokens": 8655025.0, + "step": 3955 + }, + { + "entropy": 6.384013700485229, + "epoch": 4.226374799786439, + "grad_norm": 1.0078125, + "learning_rate": 0.0003746539584218673, + "loss": 5.852, + "mean_token_accuracy": 0.16765398383140565, + "num_tokens": 8666251.0, + "step": 3960 + }, + { + "entropy": 6.393583822250366, + "epoch": 4.231713828083289, + "grad_norm": 0.984375, + "learning_rate": 0.00037427474777972477, + "loss": 5.8105, + "mean_token_accuracy": 0.1669989585876465, + "num_tokens": 8676727.0, + "step": 3965 + }, + { + "entropy": 6.466755676269531, + "epoch": 4.237052856380139, + "grad_norm": 0.9765625, + "learning_rate": 0.000373895186655465, + "loss": 5.8869, + "mean_token_accuracy": 0.16504256725311278, + "num_tokens": 8687498.0, + "step": 3970 + }, + { + "entropy": 6.458343982696533, + "epoch": 4.242391884676989, + "grad_norm": 1.03125, + "learning_rate": 0.00037351527638910035, + "loss": 5.8472, + "mean_token_accuracy": 0.16048015058040618, + "num_tokens": 8698505.0, + "step": 3975 + }, + { + "entropy": 6.432484912872314, + "epoch": 4.2477309129738385, + "grad_norm": 1.0390625, + "learning_rate": 0.0003731350183218755, + "loss": 5.9565, + "mean_token_accuracy": 0.1561967760324478, + "num_tokens": 8709349.0, + "step": 3980 + }, + { + "entropy": 6.471627855300904, + "epoch": 4.253069941270689, + "grad_norm": 1.0, + "learning_rate": 0.0003727544137962637, + "loss": 5.7887, + "mean_token_accuracy": 0.1591472879052162, + "num_tokens": 8719515.0, + "step": 3985 + }, + { + "entropy": 6.417425298690796, + "epoch": 4.2584089695675384, + "grad_norm": 1.0390625, + "learning_rate": 0.0003723734641559607, + "loss": 5.9763, + "mean_token_accuracy": 0.15346258357167245, + "num_tokens": 8731030.0, + "step": 3990 + }, + { + "entropy": 6.447788286209106, + "epoch": 4.263747997864389, + "grad_norm": 1.0234375, + "learning_rate": 0.0003719921707458809, + "loss": 5.8551, + "mean_token_accuracy": 0.15848195552825928, + "num_tokens": 8742776.0, + "step": 3995 + }, + { + "entropy": 6.39237151145935, + "epoch": 4.269087026161238, + "grad_norm": 0.9921875, + "learning_rate": 0.0003716105349121523, + "loss": 5.8143, + "mean_token_accuracy": 0.1576450362801552, + "num_tokens": 8753994.0, + "step": 4000 + }, + { + "epoch": 4.269087026161238, + "eval_entropy": 6.213875951395407, + "eval_loss": 6.626263618469238, + "eval_mean_token_accuracy": 0.12890922446529587, + "eval_num_tokens": 8753994.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.115, + "eval_steps_per_second": 212.264, + "step": 4000 + }, + { + "entropy": 6.4048929691314695, + "epoch": 4.274426054458089, + "grad_norm": 1.0625, + "learning_rate": 0.00037122855800211194, + "loss": 5.9047, + "mean_token_accuracy": 0.15603681802749633, + "num_tokens": 8765166.0, + "step": 4005 + }, + { + "entropy": 6.335198831558228, + "epoch": 4.279765082754938, + "grad_norm": 0.93359375, + "learning_rate": 0.0003708462413643009, + "loss": 5.7886, + "mean_token_accuracy": 0.16002152264118194, + "num_tokens": 8777690.0, + "step": 4010 + }, + { + "entropy": 6.390238523483276, + "epoch": 4.285104111051789, + "grad_norm": 0.92578125, + "learning_rate": 0.0003704635863484596, + "loss": 5.8374, + "mean_token_accuracy": 0.1600464291870594, + "num_tokens": 8789176.0, + "step": 4015 + }, + { + "entropy": 6.406296682357788, + "epoch": 4.290443139348638, + "grad_norm": 0.97265625, + "learning_rate": 0.00037008059430552315, + "loss": 5.9404, + "mean_token_accuracy": 0.1529441237449646, + "num_tokens": 8799810.0, + "step": 4020 + }, + { + "entropy": 6.389851474761963, + "epoch": 4.295782167645489, + "grad_norm": 0.94140625, + "learning_rate": 0.0003696972665876165, + "loss": 5.8939, + "mean_token_accuracy": 0.15673968195915222, + "num_tokens": 8811226.0, + "step": 4025 + }, + { + "entropy": 6.507057332992554, + "epoch": 4.301121195942338, + "grad_norm": 1.046875, + "learning_rate": 0.0003693136045480496, + "loss": 5.9014, + "mean_token_accuracy": 0.15902647078037263, + "num_tokens": 8821623.0, + "step": 4030 + }, + { + "entropy": 6.451570701599121, + "epoch": 4.3064602242391885, + "grad_norm": 1.03125, + "learning_rate": 0.00036892960954131287, + "loss": 5.9234, + "mean_token_accuracy": 0.15746306031942367, + "num_tokens": 8832146.0, + "step": 4035 + }, + { + "entropy": 6.423214149475098, + "epoch": 4.311799252536039, + "grad_norm": 1.1640625, + "learning_rate": 0.0003685452829230721, + "loss": 5.8617, + "mean_token_accuracy": 0.16206436604261398, + "num_tokens": 8842087.0, + "step": 4040 + }, + { + "entropy": 6.462438488006592, + "epoch": 4.317138280832888, + "grad_norm": 1.0703125, + "learning_rate": 0.0003681606260501637, + "loss": 5.8967, + "mean_token_accuracy": 0.15548368096351622, + "num_tokens": 8853193.0, + "step": 4045 + }, + { + "entropy": 6.397952508926392, + "epoch": 4.322477309129738, + "grad_norm": 1.0234375, + "learning_rate": 0.00036777564028059036, + "loss": 5.7812, + "mean_token_accuracy": 0.16826205998659133, + "num_tokens": 8863751.0, + "step": 4050 + }, + { + "entropy": 6.370702838897705, + "epoch": 4.327816337426588, + "grad_norm": 0.94921875, + "learning_rate": 0.0003673903269735156, + "loss": 5.8334, + "mean_token_accuracy": 0.15850836783647537, + "num_tokens": 8875127.0, + "step": 4055 + }, + { + "entropy": 6.426618528366089, + "epoch": 4.333155365723439, + "grad_norm": 0.98046875, + "learning_rate": 0.0003670046874892595, + "loss": 5.8234, + "mean_token_accuracy": 0.1664125144481659, + "num_tokens": 8885851.0, + "step": 4060 + }, + { + "entropy": 6.402348804473877, + "epoch": 4.338494394020288, + "grad_norm": 1.015625, + "learning_rate": 0.0003666187231892936, + "loss": 5.9587, + "mean_token_accuracy": 0.15492249578237532, + "num_tokens": 8898001.0, + "step": 4065 + }, + { + "entropy": 6.467628765106201, + "epoch": 4.343833422317139, + "grad_norm": 1.0625, + "learning_rate": 0.00036623243543623603, + "loss": 5.9359, + "mean_token_accuracy": 0.1625946819782257, + "num_tokens": 8908852.0, + "step": 4070 + }, + { + "entropy": 6.443071126937866, + "epoch": 4.349172450613988, + "grad_norm": 1.0, + "learning_rate": 0.0003658458255938471, + "loss": 5.8299, + "mean_token_accuracy": 0.16284757256507873, + "num_tokens": 8919580.0, + "step": 4075 + }, + { + "entropy": 6.377685451507569, + "epoch": 4.354511478910839, + "grad_norm": 1.0859375, + "learning_rate": 0.00036545889502702405, + "loss": 5.9086, + "mean_token_accuracy": 0.1580785721540451, + "num_tokens": 8930218.0, + "step": 4080 + }, + { + "entropy": 6.4977436542510985, + "epoch": 4.359850507207688, + "grad_norm": 1.03125, + "learning_rate": 0.00036507164510179665, + "loss": 5.9094, + "mean_token_accuracy": 0.15574317276477814, + "num_tokens": 8941960.0, + "step": 4085 + }, + { + "entropy": 6.398830318450928, + "epoch": 4.3651895355045385, + "grad_norm": 0.92578125, + "learning_rate": 0.00036468407718532177, + "loss": 5.8806, + "mean_token_accuracy": 0.15769995599985123, + "num_tokens": 8953010.0, + "step": 4090 + }, + { + "entropy": 6.401963901519776, + "epoch": 4.370528563801388, + "grad_norm": 0.99609375, + "learning_rate": 0.0003642961926458792, + "loss": 5.9305, + "mean_token_accuracy": 0.16030178517103194, + "num_tokens": 8964262.0, + "step": 4095 + }, + { + "entropy": 6.4202672958374025, + "epoch": 4.375867592098238, + "grad_norm": 0.9765625, + "learning_rate": 0.00036390799285286645, + "loss": 5.9664, + "mean_token_accuracy": 0.15303387492895126, + "num_tokens": 8976737.0, + "step": 4100 + }, + { + "entropy": 6.386706018447876, + "epoch": 4.381206620395088, + "grad_norm": 0.921875, + "learning_rate": 0.00036351947917679414, + "loss": 5.9042, + "mean_token_accuracy": 0.15970954447984695, + "num_tokens": 8988149.0, + "step": 4105 + }, + { + "entropy": 6.458559894561768, + "epoch": 4.386545648691938, + "grad_norm": 1.140625, + "learning_rate": 0.0003631306529892808, + "loss": 5.9025, + "mean_token_accuracy": 0.15646170675754548, + "num_tokens": 8998367.0, + "step": 4110 + }, + { + "entropy": 6.402514553070068, + "epoch": 4.391884676988788, + "grad_norm": 1.15625, + "learning_rate": 0.00036274151566304837, + "loss": 5.9144, + "mean_token_accuracy": 0.15345945209264755, + "num_tokens": 9009249.0, + "step": 4115 + }, + { + "entropy": 6.383094215393067, + "epoch": 4.397223705285638, + "grad_norm": 0.96484375, + "learning_rate": 0.00036235206857191743, + "loss": 5.8895, + "mean_token_accuracy": 0.16084175705909728, + "num_tokens": 9020083.0, + "step": 4120 + }, + { + "entropy": 6.472617673873901, + "epoch": 4.402562733582488, + "grad_norm": 0.9375, + "learning_rate": 0.0003619623130908017, + "loss": 5.8857, + "mean_token_accuracy": 0.16436166763305665, + "num_tokens": 9031477.0, + "step": 4125 + }, + { + "entropy": 6.413021230697632, + "epoch": 4.407901761879338, + "grad_norm": 1.0546875, + "learning_rate": 0.0003615722505957043, + "loss": 5.905, + "mean_token_accuracy": 0.1590799331665039, + "num_tokens": 9041429.0, + "step": 4130 + }, + { + "entropy": 6.363875246047973, + "epoch": 4.413240790176188, + "grad_norm": 0.9921875, + "learning_rate": 0.00036118188246371156, + "loss": 5.822, + "mean_token_accuracy": 0.16231572031974792, + "num_tokens": 9051776.0, + "step": 4135 + }, + { + "entropy": 6.37334098815918, + "epoch": 4.418579818473038, + "grad_norm": 0.953125, + "learning_rate": 0.00036079121007298934, + "loss": 5.8592, + "mean_token_accuracy": 0.16210116893053056, + "num_tokens": 9063077.0, + "step": 4140 + }, + { + "entropy": 6.474695777893066, + "epoch": 4.423918846769888, + "grad_norm": 1.1640625, + "learning_rate": 0.00036040023480277724, + "loss": 5.9025, + "mean_token_accuracy": 0.158287712931633, + "num_tokens": 9074130.0, + "step": 4145 + }, + { + "entropy": 6.411297225952149, + "epoch": 4.429257875066738, + "grad_norm": 1.09375, + "learning_rate": 0.00036000895803338465, + "loss": 5.8647, + "mean_token_accuracy": 0.1616749420762062, + "num_tokens": 9083976.0, + "step": 4150 + }, + { + "entropy": 6.52132248878479, + "epoch": 4.4345969033635875, + "grad_norm": 0.96484375, + "learning_rate": 0.000359617381146185, + "loss": 5.9975, + "mean_token_accuracy": 0.14539264291524887, + "num_tokens": 9095029.0, + "step": 4155 + }, + { + "entropy": 6.491507244110108, + "epoch": 4.439935931660438, + "grad_norm": 1.0546875, + "learning_rate": 0.0003592255055236113, + "loss": 5.9447, + "mean_token_accuracy": 0.15878929644823075, + "num_tokens": 9105382.0, + "step": 4160 + }, + { + "entropy": 6.381310367584229, + "epoch": 4.445274959957287, + "grad_norm": 1.0859375, + "learning_rate": 0.0003588333325491515, + "loss": 5.8687, + "mean_token_accuracy": 0.15649351477622986, + "num_tokens": 9116120.0, + "step": 4165 + }, + { + "entropy": 6.3444465637207035, + "epoch": 4.450613988254138, + "grad_norm": 0.99609375, + "learning_rate": 0.00035844086360734304, + "loss": 5.9347, + "mean_token_accuracy": 0.15064095035195352, + "num_tokens": 9127492.0, + "step": 4170 + }, + { + "entropy": 6.419450426101685, + "epoch": 4.455953016550987, + "grad_norm": 0.890625, + "learning_rate": 0.0003580481000837683, + "loss": 5.8309, + "mean_token_accuracy": 0.16420729458332062, + "num_tokens": 9139382.0, + "step": 4175 + }, + { + "entropy": 6.37151312828064, + "epoch": 4.461292044847838, + "grad_norm": 1.0, + "learning_rate": 0.00035765504336504974, + "loss": 5.9323, + "mean_token_accuracy": 0.15446227490901948, + "num_tokens": 9150484.0, + "step": 4180 + }, + { + "entropy": 6.447879409790039, + "epoch": 4.466631073144688, + "grad_norm": 1.046875, + "learning_rate": 0.00035726169483884493, + "loss": 5.9109, + "mean_token_accuracy": 0.15431981533765793, + "num_tokens": 9161110.0, + "step": 4185 + }, + { + "entropy": 6.455252599716187, + "epoch": 4.471970101441538, + "grad_norm": 0.97265625, + "learning_rate": 0.0003568680558938415, + "loss": 5.8833, + "mean_token_accuracy": 0.1610197678208351, + "num_tokens": 9171786.0, + "step": 4190 + }, + { + "entropy": 6.417928457260132, + "epoch": 4.477309129738388, + "grad_norm": 1.0546875, + "learning_rate": 0.0003564741279197526, + "loss": 5.9639, + "mean_token_accuracy": 0.15531326979398727, + "num_tokens": 9183250.0, + "step": 4195 + }, + { + "entropy": 6.45450611114502, + "epoch": 4.4826481580352375, + "grad_norm": 1.0859375, + "learning_rate": 0.00035607991230731154, + "loss": 5.8953, + "mean_token_accuracy": 0.15608533322811127, + "num_tokens": 9194261.0, + "step": 4200 + }, + { + "entropy": 6.38051290512085, + "epoch": 4.487987186332088, + "grad_norm": 0.9921875, + "learning_rate": 0.0003556854104482673, + "loss": 5.891, + "mean_token_accuracy": 0.1608704909682274, + "num_tokens": 9205696.0, + "step": 4205 + }, + { + "entropy": 6.395957183837891, + "epoch": 4.493326214628937, + "grad_norm": 0.97265625, + "learning_rate": 0.0003552906237353793, + "loss": 5.8459, + "mean_token_accuracy": 0.16094670444726944, + "num_tokens": 9217027.0, + "step": 4210 + }, + { + "entropy": 6.42204008102417, + "epoch": 4.498665242925788, + "grad_norm": 1.0625, + "learning_rate": 0.0003548955535624128, + "loss": 5.9264, + "mean_token_accuracy": 0.15839983522891998, + "num_tokens": 9227916.0, + "step": 4215 + }, + { + "entropy": 6.433207321166992, + "epoch": 4.504004271222637, + "grad_norm": 0.953125, + "learning_rate": 0.0003545002013241337, + "loss": 5.8787, + "mean_token_accuracy": 0.1681976228952408, + "num_tokens": 9239401.0, + "step": 4220 + }, + { + "entropy": 6.345034646987915, + "epoch": 4.509343299519488, + "grad_norm": 0.98046875, + "learning_rate": 0.0003541045684163035, + "loss": 5.8769, + "mean_token_accuracy": 0.15489550828933715, + "num_tokens": 9249258.0, + "step": 4225 + }, + { + "entropy": 6.437056159973144, + "epoch": 4.514682327816337, + "grad_norm": 1.03125, + "learning_rate": 0.00035370865623567495, + "loss": 5.894, + "mean_token_accuracy": 0.15679936856031418, + "num_tokens": 9259958.0, + "step": 4230 + }, + { + "entropy": 6.40920934677124, + "epoch": 4.520021356113188, + "grad_norm": 1.0625, + "learning_rate": 0.00035331246617998654, + "loss": 5.8184, + "mean_token_accuracy": 0.15945262610912322, + "num_tokens": 9270380.0, + "step": 4235 + }, + { + "entropy": 6.376594591140747, + "epoch": 4.525360384410037, + "grad_norm": 0.984375, + "learning_rate": 0.0003529159996479577, + "loss": 5.882, + "mean_token_accuracy": 0.16308974474668503, + "num_tokens": 9281178.0, + "step": 4240 + }, + { + "entropy": 6.373546457290649, + "epoch": 4.530699412706888, + "grad_norm": 1.0703125, + "learning_rate": 0.00035251925803928414, + "loss": 5.7705, + "mean_token_accuracy": 0.1718821719288826, + "num_tokens": 9290987.0, + "step": 4245 + }, + { + "entropy": 6.434765577316284, + "epoch": 4.536038441003737, + "grad_norm": 1.0546875, + "learning_rate": 0.0003521222427546326, + "loss": 5.9256, + "mean_token_accuracy": 0.15994654297828675, + "num_tokens": 9302195.0, + "step": 4250 + }, + { + "entropy": 6.361167621612549, + "epoch": 4.5413774693005875, + "grad_norm": 1.0234375, + "learning_rate": 0.000351724955195636, + "loss": 5.8783, + "mean_token_accuracy": 0.1654079496860504, + "num_tokens": 9312851.0, + "step": 4255 + }, + { + "entropy": 6.421001005172729, + "epoch": 4.546716497597437, + "grad_norm": 0.9453125, + "learning_rate": 0.00035132739676488854, + "loss": 5.9486, + "mean_token_accuracy": 0.15135279595851897, + "num_tokens": 9324001.0, + "step": 4260 + }, + { + "entropy": 6.422706508636475, + "epoch": 4.552055525894287, + "grad_norm": 1.0546875, + "learning_rate": 0.0003509295688659409, + "loss": 5.868, + "mean_token_accuracy": 0.16096135824918748, + "num_tokens": 9334092.0, + "step": 4265 + }, + { + "entropy": 6.419775152206421, + "epoch": 4.557394554191137, + "grad_norm": 1.0234375, + "learning_rate": 0.00035053147290329455, + "loss": 5.916, + "mean_token_accuracy": 0.15535657107830048, + "num_tokens": 9345096.0, + "step": 4270 + }, + { + "entropy": 6.274848413467407, + "epoch": 4.562733582487987, + "grad_norm": 1.0390625, + "learning_rate": 0.000350133110282398, + "loss": 5.9262, + "mean_token_accuracy": 0.15504762530326843, + "num_tokens": 9357184.0, + "step": 4275 + }, + { + "entropy": 6.463329076766968, + "epoch": 4.568072610784837, + "grad_norm": 1.0078125, + "learning_rate": 0.0003497344824096407, + "loss": 5.9396, + "mean_token_accuracy": 0.15729070752859114, + "num_tokens": 9367392.0, + "step": 4280 + }, + { + "entropy": 6.472297477722168, + "epoch": 4.573411639081687, + "grad_norm": 1.171875, + "learning_rate": 0.00034933559069234876, + "loss": 5.8291, + "mean_token_accuracy": 0.16340985745191575, + "num_tokens": 9377138.0, + "step": 4285 + }, + { + "entropy": 6.411571645736695, + "epoch": 4.578750667378537, + "grad_norm": 1.0703125, + "learning_rate": 0.00034893643653877973, + "loss": 5.9533, + "mean_token_accuracy": 0.152741901576519, + "num_tokens": 9387777.0, + "step": 4290 + }, + { + "entropy": 6.442379903793335, + "epoch": 4.584089695675387, + "grad_norm": 1.1484375, + "learning_rate": 0.0003485370213581177, + "loss": 5.919, + "mean_token_accuracy": 0.16460502445697783, + "num_tokens": 9397880.0, + "step": 4295 + }, + { + "entropy": 6.380690717697144, + "epoch": 4.589428723972237, + "grad_norm": 1.0703125, + "learning_rate": 0.0003481373465604683, + "loss": 5.825, + "mean_token_accuracy": 0.15915247350931166, + "num_tokens": 9408899.0, + "step": 4300 + }, + { + "entropy": 6.376305961608887, + "epoch": 4.594767752269087, + "grad_norm": 1.0703125, + "learning_rate": 0.0003477374135568536, + "loss": 5.874, + "mean_token_accuracy": 0.16272423788905144, + "num_tokens": 9419599.0, + "step": 4305 + }, + { + "entropy": 6.412158107757568, + "epoch": 4.6001067805659375, + "grad_norm": 1.046875, + "learning_rate": 0.0003473372237592075, + "loss": 5.9253, + "mean_token_accuracy": 0.15421468615531922, + "num_tokens": 9431055.0, + "step": 4310 + }, + { + "entropy": 6.416840648651123, + "epoch": 4.605445808862787, + "grad_norm": 1.078125, + "learning_rate": 0.00034693677858037015, + "loss": 5.86, + "mean_token_accuracy": 0.16356259137392043, + "num_tokens": 9442193.0, + "step": 4315 + }, + { + "entropy": 6.4224800109863285, + "epoch": 4.6107848371596365, + "grad_norm": 1.046875, + "learning_rate": 0.0003465360794340836, + "loss": 5.914, + "mean_token_accuracy": 0.15818674862384796, + "num_tokens": 9453340.0, + "step": 4320 + }, + { + "entropy": 6.298796987533569, + "epoch": 4.616123865456487, + "grad_norm": 1.046875, + "learning_rate": 0.00034613512773498634, + "loss": 5.8637, + "mean_token_accuracy": 0.15737705677747726, + "num_tokens": 9464163.0, + "step": 4325 + }, + { + "entropy": 6.346707963943482, + "epoch": 4.621462893753337, + "grad_norm": 1.0859375, + "learning_rate": 0.0003457339248986086, + "loss": 5.8171, + "mean_token_accuracy": 0.16036440283060074, + "num_tokens": 9473376.0, + "step": 4330 + }, + { + "entropy": 6.358528995513916, + "epoch": 4.626801922050187, + "grad_norm": 1.0625, + "learning_rate": 0.0003453324723413671, + "loss": 5.819, + "mean_token_accuracy": 0.17424627095460893, + "num_tokens": 9484571.0, + "step": 4335 + }, + { + "entropy": 6.4063362121582035, + "epoch": 4.632140950347037, + "grad_norm": 1.0078125, + "learning_rate": 0.0003449307714805603, + "loss": 5.8956, + "mean_token_accuracy": 0.16029897183179856, + "num_tokens": 9495702.0, + "step": 4340 + }, + { + "entropy": 6.424567985534668, + "epoch": 4.637479978643887, + "grad_norm": 0.98046875, + "learning_rate": 0.0003445288237343632, + "loss": 5.9546, + "mean_token_accuracy": 0.15446095466613768, + "num_tokens": 9507296.0, + "step": 4345 + }, + { + "entropy": 6.3962554931640625, + "epoch": 4.642819006940737, + "grad_norm": 0.98828125, + "learning_rate": 0.0003441266305218224, + "loss": 5.9453, + "mean_token_accuracy": 0.15589361935853957, + "num_tokens": 9518198.0, + "step": 4350 + }, + { + "entropy": 6.459865522384644, + "epoch": 4.648158035237587, + "grad_norm": 1.0078125, + "learning_rate": 0.00034372419326285126, + "loss": 5.9588, + "mean_token_accuracy": 0.1505233347415924, + "num_tokens": 9529711.0, + "step": 4355 + }, + { + "entropy": 6.455620670318604, + "epoch": 4.653497063534437, + "grad_norm": 0.98046875, + "learning_rate": 0.00034332151337822454, + "loss": 5.8618, + "mean_token_accuracy": 0.1631107211112976, + "num_tokens": 9540543.0, + "step": 4360 + }, + { + "entropy": 6.328192329406738, + "epoch": 4.6588360918312866, + "grad_norm": 1.140625, + "learning_rate": 0.0003429185922895736, + "loss": 5.8707, + "mean_token_accuracy": 0.1605295106768608, + "num_tokens": 9550502.0, + "step": 4365 + }, + { + "entropy": 6.371403598785401, + "epoch": 4.664175120128137, + "grad_norm": 1.03125, + "learning_rate": 0.00034251543141938144, + "loss": 5.9105, + "mean_token_accuracy": 0.15743122845888138, + "num_tokens": 9561909.0, + "step": 4370 + }, + { + "entropy": 6.36637396812439, + "epoch": 4.6695141484249865, + "grad_norm": 1.109375, + "learning_rate": 0.0003421120321909776, + "loss": 5.8222, + "mean_token_accuracy": 0.1606006696820259, + "num_tokens": 9572380.0, + "step": 4375 + }, + { + "entropy": 6.3657632827758786, + "epoch": 4.674853176721837, + "grad_norm": 0.9765625, + "learning_rate": 0.0003417083960285329, + "loss": 5.82, + "mean_token_accuracy": 0.1607291281223297, + "num_tokens": 9584188.0, + "step": 4380 + }, + { + "entropy": 6.361291742324829, + "epoch": 4.680192205018686, + "grad_norm": 1.0625, + "learning_rate": 0.000341304524357055, + "loss": 5.8803, + "mean_token_accuracy": 0.1607501268386841, + "num_tokens": 9594449.0, + "step": 4385 + }, + { + "entropy": 6.455878353118896, + "epoch": 4.685531233315537, + "grad_norm": 1.0703125, + "learning_rate": 0.0003409004186023826, + "loss": 5.8723, + "mean_token_accuracy": 0.16451315730810165, + "num_tokens": 9604655.0, + "step": 4390 + }, + { + "entropy": 6.440843200683593, + "epoch": 4.690870261612386, + "grad_norm": 1.0, + "learning_rate": 0.0003404960801911812, + "loss": 5.9775, + "mean_token_accuracy": 0.15684316754341127, + "num_tokens": 9615715.0, + "step": 4395 + }, + { + "entropy": 6.388810873031616, + "epoch": 4.696209289909237, + "grad_norm": 1.0234375, + "learning_rate": 0.0003400915105509375, + "loss": 5.9087, + "mean_token_accuracy": 0.15807077884674073, + "num_tokens": 9626143.0, + "step": 4400 + }, + { + "entropy": 6.403064346313476, + "epoch": 4.701548318206086, + "grad_norm": 1.0234375, + "learning_rate": 0.0003396867111099544, + "loss": 5.9027, + "mean_token_accuracy": 0.15824245810508727, + "num_tokens": 9638196.0, + "step": 4405 + }, + { + "entropy": 6.420948076248169, + "epoch": 4.706887346502937, + "grad_norm": 1.1015625, + "learning_rate": 0.0003392816832973464, + "loss": 5.8988, + "mean_token_accuracy": 0.15165719091892244, + "num_tokens": 9649444.0, + "step": 4410 + }, + { + "entropy": 6.393687057495117, + "epoch": 4.712226374799786, + "grad_norm": 0.91015625, + "learning_rate": 0.000338876428543034, + "loss": 5.9455, + "mean_token_accuracy": 0.15852398574352264, + "num_tokens": 9662529.0, + "step": 4415 + }, + { + "entropy": 6.482411241531372, + "epoch": 4.7175654030966365, + "grad_norm": 1.078125, + "learning_rate": 0.000338470948277739, + "loss": 5.9431, + "mean_token_accuracy": 0.1514291748404503, + "num_tokens": 9673335.0, + "step": 4420 + }, + { + "entropy": 6.447452783584595, + "epoch": 4.722904431393486, + "grad_norm": 0.96484375, + "learning_rate": 0.0003380652439329793, + "loss": 5.968, + "mean_token_accuracy": 0.15461814552545547, + "num_tokens": 9685427.0, + "step": 4425 + }, + { + "entropy": 6.402762079238892, + "epoch": 4.728243459690336, + "grad_norm": 1.0, + "learning_rate": 0.0003376593169410639, + "loss": 5.9086, + "mean_token_accuracy": 0.16269552260637282, + "num_tokens": 9696759.0, + "step": 4430 + }, + { + "entropy": 6.435091543197632, + "epoch": 4.733582487987186, + "grad_norm": 1.1328125, + "learning_rate": 0.00033725316873508805, + "loss": 5.9588, + "mean_token_accuracy": 0.15220657736063004, + "num_tokens": 9707548.0, + "step": 4435 + }, + { + "entropy": 6.347317123413086, + "epoch": 4.738921516284036, + "grad_norm": 1.0078125, + "learning_rate": 0.0003368468007489276, + "loss": 5.9024, + "mean_token_accuracy": 0.15936826914548874, + "num_tokens": 9718663.0, + "step": 4440 + }, + { + "entropy": 6.454331493377685, + "epoch": 4.744260544580886, + "grad_norm": 0.98828125, + "learning_rate": 0.0003364402144172346, + "loss": 5.938, + "mean_token_accuracy": 0.15357836484909057, + "num_tokens": 9729742.0, + "step": 4445 + }, + { + "entropy": 6.449036645889282, + "epoch": 4.749599572877736, + "grad_norm": 1.0234375, + "learning_rate": 0.0003360334111754318, + "loss": 5.8918, + "mean_token_accuracy": 0.16091630458831788, + "num_tokens": 9739907.0, + "step": 4450 + }, + { + "entropy": 6.392539215087891, + "epoch": 4.754938601174587, + "grad_norm": 1.0546875, + "learning_rate": 0.00033562639245970807, + "loss": 5.8765, + "mean_token_accuracy": 0.1536475419998169, + "num_tokens": 9750813.0, + "step": 4455 + }, + { + "entropy": 6.446838760375977, + "epoch": 4.760277629471436, + "grad_norm": 1.0546875, + "learning_rate": 0.0003352191597070123, + "loss": 5.9044, + "mean_token_accuracy": 0.15809690654277803, + "num_tokens": 9761200.0, + "step": 4460 + }, + { + "entropy": 6.389144659042358, + "epoch": 4.765616657768286, + "grad_norm": 1.015625, + "learning_rate": 0.00033481171435504985, + "loss": 5.9211, + "mean_token_accuracy": 0.15566133260726928, + "num_tokens": 9772075.0, + "step": 4465 + }, + { + "entropy": 6.391507959365844, + "epoch": 4.770955686065136, + "grad_norm": 0.92578125, + "learning_rate": 0.00033440405784227606, + "loss": 5.9611, + "mean_token_accuracy": 0.1576541468501091, + "num_tokens": 9784391.0, + "step": 4470 + }, + { + "entropy": 6.4490166187286375, + "epoch": 4.7762947143619865, + "grad_norm": 1.0234375, + "learning_rate": 0.00033399619160789186, + "loss": 5.8904, + "mean_token_accuracy": 0.15303320437669754, + "num_tokens": 9795781.0, + "step": 4475 + }, + { + "entropy": 6.378712892532349, + "epoch": 4.781633742658836, + "grad_norm": 0.96484375, + "learning_rate": 0.00033358811709183883, + "loss": 5.8793, + "mean_token_accuracy": 0.15918490439653396, + "num_tokens": 9807114.0, + "step": 4480 + }, + { + "entropy": 6.36537618637085, + "epoch": 4.786972770955686, + "grad_norm": 0.953125, + "learning_rate": 0.0003331798357347937, + "loss": 5.8999, + "mean_token_accuracy": 0.1550626814365387, + "num_tokens": 9817936.0, + "step": 4485 + }, + { + "entropy": 6.399729681015015, + "epoch": 4.792311799252536, + "grad_norm": 1.03125, + "learning_rate": 0.00033277134897816336, + "loss": 5.8617, + "mean_token_accuracy": 0.15773180574178697, + "num_tokens": 9828264.0, + "step": 4490 + }, + { + "entropy": 6.409576654434204, + "epoch": 4.797650827549386, + "grad_norm": 1.1484375, + "learning_rate": 0.00033236265826407996, + "loss": 5.8669, + "mean_token_accuracy": 0.1598842889070511, + "num_tokens": 9840543.0, + "step": 4495 + }, + { + "entropy": 6.422646856307983, + "epoch": 4.802989855846236, + "grad_norm": 1.03125, + "learning_rate": 0.0003319537650353958, + "loss": 5.9755, + "mean_token_accuracy": 0.15414716601371764, + "num_tokens": 9851995.0, + "step": 4500 + }, + { + "epoch": 4.802989855846236, + "eval_entropy": 6.197350484674627, + "eval_loss": 6.585744857788086, + "eval_mean_token_accuracy": 0.13170837133929328, + "eval_num_tokens": 9851995.0, + "eval_runtime": 2.0221, + "eval_samples_per_second": 1523.147, + "eval_steps_per_second": 190.393, + "step": 4500 + }, + { + "entropy": 6.369800138473511, + "epoch": 4.808328884143086, + "grad_norm": 1.015625, + "learning_rate": 0.0003315446707356778, + "loss": 5.9459, + "mean_token_accuracy": 0.1581083983182907, + "num_tokens": 9863523.0, + "step": 4505 + }, + { + "entropy": 6.387823820114136, + "epoch": 4.813667912439936, + "grad_norm": 0.90234375, + "learning_rate": 0.0003311353768092032, + "loss": 5.8928, + "mean_token_accuracy": 0.15540545284748078, + "num_tokens": 9875104.0, + "step": 4510 + }, + { + "entropy": 6.379478693008423, + "epoch": 4.819006940736786, + "grad_norm": 1.0390625, + "learning_rate": 0.00033072588470095364, + "loss": 5.9428, + "mean_token_accuracy": 0.15790754109621047, + "num_tokens": 9886163.0, + "step": 4515 + }, + { + "entropy": 6.373296785354614, + "epoch": 4.824345969033636, + "grad_norm": 1.0078125, + "learning_rate": 0.0003303161958566107, + "loss": 5.8736, + "mean_token_accuracy": 0.15861729979515077, + "num_tokens": 9897548.0, + "step": 4520 + }, + { + "entropy": 6.405317878723144, + "epoch": 4.829684997330486, + "grad_norm": 0.94921875, + "learning_rate": 0.00032990631172255026, + "loss": 5.8425, + "mean_token_accuracy": 0.1649320423603058, + "num_tokens": 9908047.0, + "step": 4525 + }, + { + "entropy": 6.356839275360107, + "epoch": 4.835024025627336, + "grad_norm": 0.9921875, + "learning_rate": 0.0003294962337458379, + "loss": 5.8307, + "mean_token_accuracy": 0.16006208807229996, + "num_tokens": 9919652.0, + "step": 4530 + }, + { + "entropy": 6.406173419952393, + "epoch": 4.840363053924186, + "grad_norm": 1.09375, + "learning_rate": 0.0003290859633742233, + "loss": 5.8774, + "mean_token_accuracy": 0.16061726957559586, + "num_tokens": 9930755.0, + "step": 4535 + }, + { + "entropy": 6.35872449874878, + "epoch": 4.8457020822210355, + "grad_norm": 1.0703125, + "learning_rate": 0.0003286755020561356, + "loss": 5.8676, + "mean_token_accuracy": 0.16003422439098358, + "num_tokens": 9941525.0, + "step": 4540 + }, + { + "entropy": 6.37477560043335, + "epoch": 4.851041110517886, + "grad_norm": 1.1015625, + "learning_rate": 0.00032826485124067803, + "loss": 5.8577, + "mean_token_accuracy": 0.16541478484869004, + "num_tokens": 9953137.0, + "step": 4545 + }, + { + "entropy": 6.448293924331665, + "epoch": 4.856380138814735, + "grad_norm": 1.0078125, + "learning_rate": 0.00032785401237762256, + "loss": 5.9121, + "mean_token_accuracy": 0.15062763392925263, + "num_tokens": 9963089.0, + "step": 4550 + }, + { + "entropy": 6.412472105026245, + "epoch": 4.861719167111586, + "grad_norm": 1.0234375, + "learning_rate": 0.00032744298691740544, + "loss": 5.949, + "mean_token_accuracy": 0.15738110840320588, + "num_tokens": 9974158.0, + "step": 4555 + }, + { + "entropy": 6.415805149078369, + "epoch": 4.867058195408435, + "grad_norm": 1.0546875, + "learning_rate": 0.00032703177631112154, + "loss": 5.8822, + "mean_token_accuracy": 0.16327403783798217, + "num_tokens": 9985379.0, + "step": 4560 + }, + { + "entropy": 6.372489023208618, + "epoch": 4.872397223705286, + "grad_norm": 0.9921875, + "learning_rate": 0.00032662038201051915, + "loss": 5.887, + "mean_token_accuracy": 0.15769575014710427, + "num_tokens": 9996683.0, + "step": 4565 + }, + { + "entropy": 6.359514284133911, + "epoch": 4.877736252002135, + "grad_norm": 1.015625, + "learning_rate": 0.00032620880546799534, + "loss": 5.9138, + "mean_token_accuracy": 0.16005149185657502, + "num_tokens": 10006515.0, + "step": 4570 + }, + { + "entropy": 6.41174430847168, + "epoch": 4.883075280298986, + "grad_norm": 0.97265625, + "learning_rate": 0.00032579704813659054, + "loss": 5.846, + "mean_token_accuracy": 0.16435935646295546, + "num_tokens": 10017154.0, + "step": 4575 + }, + { + "entropy": 6.370229864120484, + "epoch": 4.888414308595836, + "grad_norm": 0.92578125, + "learning_rate": 0.00032538511146998345, + "loss": 5.8942, + "mean_token_accuracy": 0.1569717898964882, + "num_tokens": 10027962.0, + "step": 4580 + }, + { + "entropy": 6.360958433151245, + "epoch": 4.8937533368926855, + "grad_norm": 1.03125, + "learning_rate": 0.00032497299692248573, + "loss": 5.8677, + "mean_token_accuracy": 0.15199009478092193, + "num_tokens": 10039636.0, + "step": 4585 + }, + { + "entropy": 6.382066631317139, + "epoch": 4.899092365189535, + "grad_norm": 1.109375, + "learning_rate": 0.0003245607059490372, + "loss": 5.8499, + "mean_token_accuracy": 0.15818813741207122, + "num_tokens": 10049824.0, + "step": 4590 + }, + { + "entropy": 6.351303911209106, + "epoch": 4.9044313934863855, + "grad_norm": 0.99609375, + "learning_rate": 0.0003241482400052005, + "loss": 5.9098, + "mean_token_accuracy": 0.15453121364116668, + "num_tokens": 10060276.0, + "step": 4595 + }, + { + "entropy": 6.409463262557983, + "epoch": 4.909770421783236, + "grad_norm": 1.1171875, + "learning_rate": 0.00032373560054715597, + "loss": 5.9491, + "mean_token_accuracy": 0.16075047105550766, + "num_tokens": 10070724.0, + "step": 4600 + }, + { + "entropy": 6.450956201553344, + "epoch": 4.915109450080085, + "grad_norm": 1.0703125, + "learning_rate": 0.0003233227890316965, + "loss": 5.9356, + "mean_token_accuracy": 0.15876972898840905, + "num_tokens": 10081989.0, + "step": 4605 + }, + { + "entropy": 6.3411389827728275, + "epoch": 4.920448478376936, + "grad_norm": 1.03125, + "learning_rate": 0.0003229098069162226, + "loss": 5.8758, + "mean_token_accuracy": 0.16423702090978623, + "num_tokens": 10093105.0, + "step": 4610 + }, + { + "entropy": 6.377899312973023, + "epoch": 4.925787506673785, + "grad_norm": 1.0078125, + "learning_rate": 0.0003224966556587368, + "loss": 5.8817, + "mean_token_accuracy": 0.1600843369960785, + "num_tokens": 10103669.0, + "step": 4615 + }, + { + "entropy": 6.4453178405761715, + "epoch": 4.931126534970636, + "grad_norm": 1.0859375, + "learning_rate": 0.00032208333671783897, + "loss": 5.8947, + "mean_token_accuracy": 0.16705036610364915, + "num_tokens": 10113333.0, + "step": 4620 + }, + { + "entropy": 6.363779735565186, + "epoch": 4.936465563267485, + "grad_norm": 1.0390625, + "learning_rate": 0.0003216698515527209, + "loss": 5.8659, + "mean_token_accuracy": 0.15492594242095947, + "num_tokens": 10125182.0, + "step": 4625 + }, + { + "entropy": 6.456665849685669, + "epoch": 4.941804591564336, + "grad_norm": 1.1171875, + "learning_rate": 0.00032125620162316116, + "loss": 5.9578, + "mean_token_accuracy": 0.16319140791893005, + "num_tokens": 10136634.0, + "step": 4630 + }, + { + "entropy": 6.4088178157806395, + "epoch": 4.947143619861185, + "grad_norm": 0.9765625, + "learning_rate": 0.00032084238838952015, + "loss": 5.9326, + "mean_token_accuracy": 0.15632062256336213, + "num_tokens": 10147010.0, + "step": 4635 + }, + { + "entropy": 6.409919023513794, + "epoch": 4.9524826481580355, + "grad_norm": 1.015625, + "learning_rate": 0.00032042841331273467, + "loss": 5.9426, + "mean_token_accuracy": 0.1570739448070526, + "num_tokens": 10158106.0, + "step": 4640 + }, + { + "entropy": 6.353962516784668, + "epoch": 4.957821676454885, + "grad_norm": 1.078125, + "learning_rate": 0.00032001427785431305, + "loss": 5.8576, + "mean_token_accuracy": 0.16374620348215102, + "num_tokens": 10168259.0, + "step": 4645 + }, + { + "entropy": 6.42985429763794, + "epoch": 4.963160704751735, + "grad_norm": 0.98828125, + "learning_rate": 0.00031959998347632956, + "loss": 6.006, + "mean_token_accuracy": 0.1434712141752243, + "num_tokens": 10180508.0, + "step": 4650 + }, + { + "entropy": 6.492809057235718, + "epoch": 4.968499733048585, + "grad_norm": 1.0703125, + "learning_rate": 0.0003191855316414199, + "loss": 5.9032, + "mean_token_accuracy": 0.15816870629787444, + "num_tokens": 10190262.0, + "step": 4655 + }, + { + "entropy": 6.418329763412475, + "epoch": 4.973838761345435, + "grad_norm": 1.078125, + "learning_rate": 0.00031877092381277537, + "loss": 5.9772, + "mean_token_accuracy": 0.15402303636074066, + "num_tokens": 10201523.0, + "step": 4660 + }, + { + "entropy": 6.317938280105591, + "epoch": 4.979177789642285, + "grad_norm": 1.03125, + "learning_rate": 0.00031835616145413814, + "loss": 5.8928, + "mean_token_accuracy": 0.15760272294282912, + "num_tokens": 10212831.0, + "step": 4665 + }, + { + "entropy": 6.404195642471313, + "epoch": 4.984516817939135, + "grad_norm": 1.0234375, + "learning_rate": 0.0003179412460297959, + "loss": 5.9397, + "mean_token_accuracy": 0.15713729113340377, + "num_tokens": 10224321.0, + "step": 4670 + }, + { + "entropy": 6.39815320968628, + "epoch": 4.989855846235985, + "grad_norm": 0.9765625, + "learning_rate": 0.00031752617900457656, + "loss": 5.8457, + "mean_token_accuracy": 0.16098662912845613, + "num_tokens": 10234991.0, + "step": 4675 + }, + { + "entropy": 6.392170476913452, + "epoch": 4.995194874532835, + "grad_norm": 1.03125, + "learning_rate": 0.00031711096184384356, + "loss": 5.913, + "mean_token_accuracy": 0.1588407799601555, + "num_tokens": 10245792.0, + "step": 4680 + }, + { + "entropy": 6.382403903537327, + "epoch": 5.0, + "grad_norm": 1.6015625, + "learning_rate": 0.0003166955960134901, + "loss": 5.929, + "mean_token_accuracy": 0.15361620485782623, + "num_tokens": 10255235.0, + "step": 4685 + }, + { + "entropy": 6.418357086181641, + "epoch": 5.00533902829685, + "grad_norm": 1.0390625, + "learning_rate": 0.0003162800829799346, + "loss": 5.7082, + "mean_token_accuracy": 0.1671856552362442, + "num_tokens": 10266176.0, + "step": 4690 + }, + { + "entropy": 6.424757814407348, + "epoch": 5.0106780565937, + "grad_norm": 0.9765625, + "learning_rate": 0.00031586442421011464, + "loss": 5.6492, + "mean_token_accuracy": 0.17020085901021959, + "num_tokens": 10276925.0, + "step": 4695 + }, + { + "entropy": 6.3981077671051025, + "epoch": 5.01601708489055, + "grad_norm": 1.0234375, + "learning_rate": 0.00031544862117148265, + "loss": 5.7554, + "mean_token_accuracy": 0.16531572341918946, + "num_tokens": 10288951.0, + "step": 4700 + }, + { + "entropy": 6.414116668701172, + "epoch": 5.0213561131874, + "grad_norm": 0.98046875, + "learning_rate": 0.0003150326753320005, + "loss": 5.7477, + "mean_token_accuracy": 0.1673135429620743, + "num_tokens": 10299416.0, + "step": 4705 + }, + { + "entropy": 6.406787347793579, + "epoch": 5.02669514148425, + "grad_norm": 1.1015625, + "learning_rate": 0.0003146165881601341, + "loss": 5.6984, + "mean_token_accuracy": 0.17430951297283173, + "num_tokens": 10310065.0, + "step": 4710 + }, + { + "entropy": 6.389986848831176, + "epoch": 5.0320341697811, + "grad_norm": 1.0234375, + "learning_rate": 0.000314200361124848, + "loss": 5.6234, + "mean_token_accuracy": 0.17484350502490997, + "num_tokens": 10320859.0, + "step": 4715 + }, + { + "entropy": 6.363846254348755, + "epoch": 5.03737319807795, + "grad_norm": 1.09375, + "learning_rate": 0.00031378399569560104, + "loss": 5.7124, + "mean_token_accuracy": 0.17121145725250245, + "num_tokens": 10332785.0, + "step": 4720 + }, + { + "entropy": 6.4665141105651855, + "epoch": 5.0427122263748, + "grad_norm": 1.0078125, + "learning_rate": 0.0003133674933423404, + "loss": 5.6947, + "mean_token_accuracy": 0.17320917546749115, + "num_tokens": 10343245.0, + "step": 4725 + }, + { + "entropy": 6.372145271301269, + "epoch": 5.04805125467165, + "grad_norm": 1.0, + "learning_rate": 0.00031295085553549655, + "loss": 5.6017, + "mean_token_accuracy": 0.17550942450761794, + "num_tokens": 10354819.0, + "step": 4730 + }, + { + "entropy": 6.339980840682983, + "epoch": 5.0533902829685, + "grad_norm": 1.2421875, + "learning_rate": 0.0003125340837459784, + "loss": 5.675, + "mean_token_accuracy": 0.17248251140117646, + "num_tokens": 10364212.0, + "step": 4735 + }, + { + "entropy": 6.357005596160889, + "epoch": 5.05872931126535, + "grad_norm": 1.09375, + "learning_rate": 0.0003121171794451678, + "loss": 5.6891, + "mean_token_accuracy": 0.17237879633903502, + "num_tokens": 10375749.0, + "step": 4740 + }, + { + "entropy": 6.390599584579467, + "epoch": 5.0640683395621995, + "grad_norm": 1.015625, + "learning_rate": 0.0003117001441049143, + "loss": 5.6187, + "mean_token_accuracy": 0.17662997543811798, + "num_tokens": 10386706.0, + "step": 4745 + }, + { + "entropy": 6.407583522796631, + "epoch": 5.06940736785905, + "grad_norm": 1.1328125, + "learning_rate": 0.00031128297919753015, + "loss": 5.6917, + "mean_token_accuracy": 0.1671500787138939, + "num_tokens": 10397937.0, + "step": 4750 + }, + { + "entropy": 6.340428447723388, + "epoch": 5.074746396155899, + "grad_norm": 1.21875, + "learning_rate": 0.0003108656861957852, + "loss": 5.6541, + "mean_token_accuracy": 0.17233022451400756, + "num_tokens": 10408472.0, + "step": 4755 + }, + { + "entropy": 6.367531251907349, + "epoch": 5.08008542445275, + "grad_norm": 1.109375, + "learning_rate": 0.0003104482665729012, + "loss": 5.7561, + "mean_token_accuracy": 0.16906343400478363, + "num_tokens": 10418982.0, + "step": 4760 + }, + { + "entropy": 6.448597955703735, + "epoch": 5.085424452749599, + "grad_norm": 1.15625, + "learning_rate": 0.0003100307218025472, + "loss": 5.7205, + "mean_token_accuracy": 0.1782952591776848, + "num_tokens": 10428889.0, + "step": 4765 + }, + { + "entropy": 6.3812178611755375, + "epoch": 5.09076348104645, + "grad_norm": 1.1484375, + "learning_rate": 0.00030961305335883393, + "loss": 5.6373, + "mean_token_accuracy": 0.17270799428224565, + "num_tokens": 10439205.0, + "step": 4770 + }, + { + "entropy": 6.347117567062378, + "epoch": 5.096102509343299, + "grad_norm": 1.0703125, + "learning_rate": 0.0003091952627163089, + "loss": 5.7298, + "mean_token_accuracy": 0.17093968838453294, + "num_tokens": 10450923.0, + "step": 4775 + }, + { + "entropy": 6.4076886653900145, + "epoch": 5.10144153764015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003087773513499507, + "loss": 5.6534, + "mean_token_accuracy": 0.16741634607315065, + "num_tokens": 10462110.0, + "step": 4780 + }, + { + "entropy": 6.417945766448975, + "epoch": 5.106780565936999, + "grad_norm": 1.1171875, + "learning_rate": 0.0003083593207351644, + "loss": 5.7396, + "mean_token_accuracy": 0.16935442984104157, + "num_tokens": 10473453.0, + "step": 4785 + }, + { + "entropy": 6.288882541656494, + "epoch": 5.1121195942338495, + "grad_norm": 1.0859375, + "learning_rate": 0.00030794117234777624, + "loss": 5.5515, + "mean_token_accuracy": 0.18606837838888168, + "num_tokens": 10483228.0, + "step": 4790 + }, + { + "entropy": 6.3034350872039795, + "epoch": 5.117458622530699, + "grad_norm": 1.0859375, + "learning_rate": 0.0003075229076640278, + "loss": 5.6267, + "mean_token_accuracy": 0.17581222504377364, + "num_tokens": 10493767.0, + "step": 4795 + }, + { + "entropy": 6.403956604003906, + "epoch": 5.1227976508275495, + "grad_norm": 1.0390625, + "learning_rate": 0.00030710452816057137, + "loss": 5.6913, + "mean_token_accuracy": 0.1753307983279228, + "num_tokens": 10504618.0, + "step": 4800 + }, + { + "entropy": 6.377118015289307, + "epoch": 5.128136679124399, + "grad_norm": 1.09375, + "learning_rate": 0.0003066860353144649, + "loss": 5.7459, + "mean_token_accuracy": 0.16523779481649398, + "num_tokens": 10516342.0, + "step": 4805 + }, + { + "entropy": 6.4060032844543455, + "epoch": 5.133475707421249, + "grad_norm": 1.015625, + "learning_rate": 0.0003062674306031662, + "loss": 5.6746, + "mean_token_accuracy": 0.17781568616628646, + "num_tokens": 10526243.0, + "step": 4810 + }, + { + "entropy": 6.341823101043701, + "epoch": 5.138814735718099, + "grad_norm": 1.0390625, + "learning_rate": 0.000305848715504528, + "loss": 5.6337, + "mean_token_accuracy": 0.17808617651462555, + "num_tokens": 10538557.0, + "step": 4815 + }, + { + "entropy": 6.391098070144653, + "epoch": 5.144153764014949, + "grad_norm": 1.1171875, + "learning_rate": 0.000305429891496793, + "loss": 5.6862, + "mean_token_accuracy": 0.1737893134355545, + "num_tokens": 10549248.0, + "step": 4820 + }, + { + "entropy": 6.3253425598144535, + "epoch": 5.1494927923118, + "grad_norm": 1.078125, + "learning_rate": 0.0003050109600585881, + "loss": 5.6163, + "mean_token_accuracy": 0.18013107180595397, + "num_tokens": 10560697.0, + "step": 4825 + }, + { + "entropy": 6.323402166366577, + "epoch": 5.154831820608649, + "grad_norm": 1.140625, + "learning_rate": 0.0003045919226689196, + "loss": 5.6614, + "mean_token_accuracy": 0.1754286155104637, + "num_tokens": 10571880.0, + "step": 4830 + }, + { + "entropy": 6.394438791275024, + "epoch": 5.1601708489055, + "grad_norm": 1.171875, + "learning_rate": 0.0003041727808071679, + "loss": 5.7492, + "mean_token_accuracy": 0.1688705712556839, + "num_tokens": 10582478.0, + "step": 4835 + }, + { + "entropy": 6.376315784454346, + "epoch": 5.165509877202349, + "grad_norm": 0.94140625, + "learning_rate": 0.0003037535359530823, + "loss": 5.7517, + "mean_token_accuracy": 0.16800296902656556, + "num_tokens": 10594017.0, + "step": 4840 + }, + { + "entropy": 6.383328914642334, + "epoch": 5.1708489054991995, + "grad_norm": 1.109375, + "learning_rate": 0.00030333418958677525, + "loss": 5.6554, + "mean_token_accuracy": 0.17329463213682175, + "num_tokens": 10604590.0, + "step": 4845 + }, + { + "entropy": 6.339723014831543, + "epoch": 5.176187933796049, + "grad_norm": 0.91015625, + "learning_rate": 0.0003029147431887183, + "loss": 5.724, + "mean_token_accuracy": 0.16704942733049394, + "num_tokens": 10616702.0, + "step": 4850 + }, + { + "entropy": 6.435148477554321, + "epoch": 5.181526962092899, + "grad_norm": 1.0859375, + "learning_rate": 0.00030249519823973546, + "loss": 5.6996, + "mean_token_accuracy": 0.16877569556236266, + "num_tokens": 10627266.0, + "step": 4855 + }, + { + "entropy": 6.274662113189697, + "epoch": 5.186865990389749, + "grad_norm": 1.1875, + "learning_rate": 0.00030207555622099923, + "loss": 5.6042, + "mean_token_accuracy": 0.17321005761623381, + "num_tokens": 10638052.0, + "step": 4860 + }, + { + "entropy": 6.367066812515259, + "epoch": 5.192205018686599, + "grad_norm": 1.0078125, + "learning_rate": 0.00030165581861402445, + "loss": 5.689, + "mean_token_accuracy": 0.1742100700736046, + "num_tokens": 10649341.0, + "step": 4865 + }, + { + "entropy": 6.341131687164307, + "epoch": 5.197544046983449, + "grad_norm": 0.9765625, + "learning_rate": 0.00030123598690066363, + "loss": 5.6132, + "mean_token_accuracy": 0.17496493011713027, + "num_tokens": 10660109.0, + "step": 4870 + }, + { + "entropy": 6.34923529624939, + "epoch": 5.202883075280299, + "grad_norm": 1.0234375, + "learning_rate": 0.00030081606256310127, + "loss": 5.6668, + "mean_token_accuracy": 0.1677444115281105, + "num_tokens": 10670744.0, + "step": 4875 + }, + { + "entropy": 6.309982538223267, + "epoch": 5.208222103577149, + "grad_norm": 1.1171875, + "learning_rate": 0.00030039604708384916, + "loss": 5.6442, + "mean_token_accuracy": 0.17178915590047836, + "num_tokens": 10682191.0, + "step": 4880 + }, + { + "entropy": 6.340310096740723, + "epoch": 5.213561131873999, + "grad_norm": 1.109375, + "learning_rate": 0.0002999759419457406, + "loss": 5.6629, + "mean_token_accuracy": 0.17591886818408967, + "num_tokens": 10693776.0, + "step": 4885 + }, + { + "entropy": 6.352523374557495, + "epoch": 5.218900160170849, + "grad_norm": 0.98046875, + "learning_rate": 0.0002995557486319257, + "loss": 5.7681, + "mean_token_accuracy": 0.16551783084869384, + "num_tokens": 10706133.0, + "step": 4890 + }, + { + "entropy": 6.333683156967163, + "epoch": 5.224239188467699, + "grad_norm": 1.046875, + "learning_rate": 0.00029913546862586567, + "loss": 5.6941, + "mean_token_accuracy": 0.16658874601125717, + "num_tokens": 10717101.0, + "step": 4895 + }, + { + "entropy": 6.272641658782959, + "epoch": 5.229578216764549, + "grad_norm": 1.1328125, + "learning_rate": 0.00029871510341132775, + "loss": 5.6556, + "mean_token_accuracy": 0.16933980137109755, + "num_tokens": 10729084.0, + "step": 4900 + }, + { + "entropy": 6.375098752975464, + "epoch": 5.234917245061399, + "grad_norm": 1.28125, + "learning_rate": 0.00029829465447238015, + "loss": 5.6647, + "mean_token_accuracy": 0.1725642204284668, + "num_tokens": 10738222.0, + "step": 4905 + }, + { + "entropy": 6.346765041351318, + "epoch": 5.2402562733582485, + "grad_norm": 1.015625, + "learning_rate": 0.00029787412329338657, + "loss": 5.6574, + "mean_token_accuracy": 0.17934679388999938, + "num_tokens": 10749660.0, + "step": 4910 + }, + { + "entropy": 6.3313685894012455, + "epoch": 5.245595301655099, + "grad_norm": 1.1328125, + "learning_rate": 0.00029745351135900114, + "loss": 5.6755, + "mean_token_accuracy": 0.1738262429833412, + "num_tokens": 10759674.0, + "step": 4915 + }, + { + "entropy": 6.31716775894165, + "epoch": 5.250934329951948, + "grad_norm": 1.046875, + "learning_rate": 0.0002970328201541629, + "loss": 5.7311, + "mean_token_accuracy": 0.16669611185789107, + "num_tokens": 10771128.0, + "step": 4920 + }, + { + "entropy": 6.362551927566528, + "epoch": 5.256273358248799, + "grad_norm": 1.09375, + "learning_rate": 0.00029661205116409106, + "loss": 5.6929, + "mean_token_accuracy": 0.1685841992497444, + "num_tokens": 10781892.0, + "step": 4925 + }, + { + "entropy": 6.381035041809082, + "epoch": 5.261612386545648, + "grad_norm": 1.0625, + "learning_rate": 0.00029619120587427906, + "loss": 5.7166, + "mean_token_accuracy": 0.16831838488578796, + "num_tokens": 10793582.0, + "step": 4930 + }, + { + "entropy": 6.2977722644805905, + "epoch": 5.266951414842499, + "grad_norm": 1.0703125, + "learning_rate": 0.0002957702857704901, + "loss": 5.5889, + "mean_token_accuracy": 0.18098255395889282, + "num_tokens": 10803789.0, + "step": 4935 + }, + { + "entropy": 6.347255229949951, + "epoch": 5.272290443139348, + "grad_norm": 1.171875, + "learning_rate": 0.00029534929233875117, + "loss": 5.6813, + "mean_token_accuracy": 0.1723804607987404, + "num_tokens": 10815087.0, + "step": 4940 + }, + { + "entropy": 6.349794673919678, + "epoch": 5.277629471436199, + "grad_norm": 1.0546875, + "learning_rate": 0.0002949282270653483, + "loss": 5.6737, + "mean_token_accuracy": 0.17483874708414077, + "num_tokens": 10825885.0, + "step": 4945 + }, + { + "entropy": 6.404815149307251, + "epoch": 5.282968499733048, + "grad_norm": 1.171875, + "learning_rate": 0.0002945070914368212, + "loss": 5.7014, + "mean_token_accuracy": 0.16592416912317276, + "num_tokens": 10835956.0, + "step": 4950 + }, + { + "entropy": 6.379074764251709, + "epoch": 5.288307528029899, + "grad_norm": 1.234375, + "learning_rate": 0.0002940858869399579, + "loss": 5.6806, + "mean_token_accuracy": 0.1729910969734192, + "num_tokens": 10846460.0, + "step": 4955 + }, + { + "entropy": 6.343271350860595, + "epoch": 5.293646556326749, + "grad_norm": 1.078125, + "learning_rate": 0.00029366461506178954, + "loss": 5.7067, + "mean_token_accuracy": 0.16899541318416594, + "num_tokens": 10857021.0, + "step": 4960 + }, + { + "entropy": 6.343428754806519, + "epoch": 5.2989855846235985, + "grad_norm": 1.1328125, + "learning_rate": 0.0002932432772895851, + "loss": 5.7336, + "mean_token_accuracy": 0.17285263240337373, + "num_tokens": 10866283.0, + "step": 4965 + }, + { + "entropy": 6.278393840789795, + "epoch": 5.304324612920449, + "grad_norm": 1.0625, + "learning_rate": 0.00029282187511084644, + "loss": 5.5869, + "mean_token_accuracy": 0.18448489904403687, + "num_tokens": 10876993.0, + "step": 4970 + }, + { + "entropy": 6.378061532974243, + "epoch": 5.309663641217298, + "grad_norm": 0.98828125, + "learning_rate": 0.00029240041001330256, + "loss": 5.6984, + "mean_token_accuracy": 0.1693331405520439, + "num_tokens": 10887981.0, + "step": 4975 + }, + { + "entropy": 6.280534744262695, + "epoch": 5.315002669514149, + "grad_norm": 1.0390625, + "learning_rate": 0.00029197888348490446, + "loss": 5.6122, + "mean_token_accuracy": 0.1767708420753479, + "num_tokens": 10898889.0, + "step": 4980 + }, + { + "entropy": 6.317689323425293, + "epoch": 5.320341697810998, + "grad_norm": 1.0390625, + "learning_rate": 0.00029155729701382045, + "loss": 5.719, + "mean_token_accuracy": 0.1729544296860695, + "num_tokens": 10909982.0, + "step": 4985 + }, + { + "entropy": 6.370178127288819, + "epoch": 5.325680726107849, + "grad_norm": 0.97265625, + "learning_rate": 0.00029113565208843017, + "loss": 5.7206, + "mean_token_accuracy": 0.1736098438501358, + "num_tokens": 10921245.0, + "step": 4990 + }, + { + "entropy": 6.353579378128051, + "epoch": 5.331019754404698, + "grad_norm": 1.1796875, + "learning_rate": 0.0002907139501973196, + "loss": 5.6092, + "mean_token_accuracy": 0.17264861315488816, + "num_tokens": 10931660.0, + "step": 4995 + }, + { + "entropy": 6.374445533752441, + "epoch": 5.336358782701549, + "grad_norm": 1.1171875, + "learning_rate": 0.00029029219282927603, + "loss": 5.6904, + "mean_token_accuracy": 0.17012456506490709, + "num_tokens": 10943534.0, + "step": 5000 + }, + { + "epoch": 5.336358782701549, + "eval_entropy": 6.1904587758051886, + "eval_loss": 6.577048301696777, + "eval_mean_token_accuracy": 0.13215796733637908, + "eval_num_tokens": 10943534.0, + "eval_runtime": 1.8138, + "eval_samples_per_second": 1698.066, + "eval_steps_per_second": 212.258, + "step": 5000 + }, + { + "entropy": 6.345319509506226, + "epoch": 5.341697810998398, + "grad_norm": 0.93359375, + "learning_rate": 0.0002898703814732824, + "loss": 5.5716, + "mean_token_accuracy": 0.1756830707192421, + "num_tokens": 10954519.0, + "step": 5005 + }, + { + "entropy": 6.229328632354736, + "epoch": 5.3470368392952485, + "grad_norm": 1.0078125, + "learning_rate": 0.0002894485176185124, + "loss": 5.6316, + "mean_token_accuracy": 0.1782810002565384, + "num_tokens": 10966236.0, + "step": 5010 + }, + { + "entropy": 6.332392406463623, + "epoch": 5.352375867592098, + "grad_norm": 0.9375, + "learning_rate": 0.00028902660275432503, + "loss": 5.6885, + "mean_token_accuracy": 0.16952528804540634, + "num_tokens": 10978070.0, + "step": 5015 + }, + { + "entropy": 6.3167695045471195, + "epoch": 5.3577148958889484, + "grad_norm": 1.1640625, + "learning_rate": 0.00028860463837025935, + "loss": 5.6377, + "mean_token_accuracy": 0.1742299184203148, + "num_tokens": 10988651.0, + "step": 5020 + }, + { + "entropy": 6.326428937911987, + "epoch": 5.363053924185798, + "grad_norm": 1.0859375, + "learning_rate": 0.0002881826259560292, + "loss": 5.7326, + "mean_token_accuracy": 0.16955900341272354, + "num_tokens": 11001226.0, + "step": 5025 + }, + { + "entropy": 6.35105037689209, + "epoch": 5.368392952482648, + "grad_norm": 1.2421875, + "learning_rate": 0.000287760567001518, + "loss": 5.616, + "mean_token_accuracy": 0.17740404307842256, + "num_tokens": 11012025.0, + "step": 5030 + }, + { + "entropy": 6.346265268325806, + "epoch": 5.373731980779498, + "grad_norm": 0.9921875, + "learning_rate": 0.0002873384629967738, + "loss": 5.7634, + "mean_token_accuracy": 0.1710437223315239, + "num_tokens": 11023202.0, + "step": 5035 + }, + { + "entropy": 6.345341157913208, + "epoch": 5.379071009076348, + "grad_norm": 1.0625, + "learning_rate": 0.000286916315432003, + "loss": 5.6687, + "mean_token_accuracy": 0.172770456969738, + "num_tokens": 11034003.0, + "step": 5040 + }, + { + "entropy": 6.375285863876343, + "epoch": 5.384410037373198, + "grad_norm": 1.1328125, + "learning_rate": 0.00028649412579756647, + "loss": 5.7768, + "mean_token_accuracy": 0.1692378044128418, + "num_tokens": 11046083.0, + "step": 5045 + }, + { + "entropy": 6.409449243545533, + "epoch": 5.389749065670048, + "grad_norm": 1.0625, + "learning_rate": 0.00028607189558397313, + "loss": 5.7742, + "mean_token_accuracy": 0.1709982544183731, + "num_tokens": 11057378.0, + "step": 5050 + }, + { + "entropy": 6.381783294677734, + "epoch": 5.395088093966898, + "grad_norm": 1.078125, + "learning_rate": 0.0002856496262818755, + "loss": 5.7099, + "mean_token_accuracy": 0.17474423944950104, + "num_tokens": 11068389.0, + "step": 5055 + }, + { + "entropy": 6.341726016998291, + "epoch": 5.400427122263748, + "grad_norm": 1.1640625, + "learning_rate": 0.0002852273193820641, + "loss": 5.7448, + "mean_token_accuracy": 0.1749459683895111, + "num_tokens": 11079699.0, + "step": 5060 + }, + { + "entropy": 6.379783010482788, + "epoch": 5.405766150560598, + "grad_norm": 1.140625, + "learning_rate": 0.0002848049763754617, + "loss": 5.7553, + "mean_token_accuracy": 0.16467145085334778, + "num_tokens": 11090245.0, + "step": 5065 + }, + { + "entropy": 6.295734596252442, + "epoch": 5.411105178857448, + "grad_norm": 1.1640625, + "learning_rate": 0.0002843825987531192, + "loss": 5.724, + "mean_token_accuracy": 0.1723369762301445, + "num_tokens": 11101810.0, + "step": 5070 + }, + { + "entropy": 6.336012506484986, + "epoch": 5.4164442071542975, + "grad_norm": 1.265625, + "learning_rate": 0.00028396018800620927, + "loss": 5.6506, + "mean_token_accuracy": 0.18089286237955093, + "num_tokens": 11111849.0, + "step": 5075 + }, + { + "entropy": 6.281029510498047, + "epoch": 5.421783235451148, + "grad_norm": 1.015625, + "learning_rate": 0.00028353774562602164, + "loss": 5.6323, + "mean_token_accuracy": 0.1751598000526428, + "num_tokens": 11122920.0, + "step": 5080 + }, + { + "entropy": 6.314212656021118, + "epoch": 5.427122263747998, + "grad_norm": 1.1640625, + "learning_rate": 0.00028311527310395776, + "loss": 5.6814, + "mean_token_accuracy": 0.17217377573251724, + "num_tokens": 11133227.0, + "step": 5085 + }, + { + "entropy": 6.2608273983001705, + "epoch": 5.432461292044848, + "grad_norm": 1.0234375, + "learning_rate": 0.0002826927719315254, + "loss": 5.657, + "mean_token_accuracy": 0.16982914507389069, + "num_tokens": 11145206.0, + "step": 5090 + }, + { + "entropy": 6.364982986450196, + "epoch": 5.437800320341697, + "grad_norm": 1.109375, + "learning_rate": 0.00028227024360033353, + "loss": 5.6904, + "mean_token_accuracy": 0.16514935940504075, + "num_tokens": 11155739.0, + "step": 5095 + }, + { + "entropy": 6.329564189910888, + "epoch": 5.443139348638548, + "grad_norm": 0.99609375, + "learning_rate": 0.0002818476896020872, + "loss": 5.6468, + "mean_token_accuracy": 0.17437167465686798, + "num_tokens": 11166769.0, + "step": 5100 + }, + { + "entropy": 6.363117694854736, + "epoch": 5.448478376935398, + "grad_norm": 1.0625, + "learning_rate": 0.0002814251114285816, + "loss": 5.6753, + "mean_token_accuracy": 0.1687398821115494, + "num_tokens": 11177398.0, + "step": 5105 + }, + { + "entropy": 6.315731954574585, + "epoch": 5.453817405232248, + "grad_norm": 1.046875, + "learning_rate": 0.0002810025105716979, + "loss": 5.6592, + "mean_token_accuracy": 0.1719701200723648, + "num_tokens": 11188576.0, + "step": 5110 + }, + { + "entropy": 6.334354066848755, + "epoch": 5.459156433529098, + "grad_norm": 1.09375, + "learning_rate": 0.00028057988852339677, + "loss": 5.6023, + "mean_token_accuracy": 0.17892009466886521, + "num_tokens": 11198761.0, + "step": 5115 + }, + { + "entropy": 6.304895687103271, + "epoch": 5.464495461825948, + "grad_norm": 1.1796875, + "learning_rate": 0.000280157246775714, + "loss": 5.6424, + "mean_token_accuracy": 0.17465301007032394, + "num_tokens": 11208584.0, + "step": 5120 + }, + { + "entropy": 6.3745725631713865, + "epoch": 5.469834490122798, + "grad_norm": 1.109375, + "learning_rate": 0.0002797345868207549, + "loss": 5.7293, + "mean_token_accuracy": 0.1720472276210785, + "num_tokens": 11219112.0, + "step": 5125 + }, + { + "entropy": 6.357462358474732, + "epoch": 5.4751735184196475, + "grad_norm": 1.0625, + "learning_rate": 0.0002793119101506889, + "loss": 5.6811, + "mean_token_accuracy": 0.1729859247803688, + "num_tokens": 11229803.0, + "step": 5130 + }, + { + "entropy": 6.339340782165527, + "epoch": 5.480512546716498, + "grad_norm": 1.0625, + "learning_rate": 0.0002788892182577447, + "loss": 5.6658, + "mean_token_accuracy": 0.17343320995569228, + "num_tokens": 11240834.0, + "step": 5135 + }, + { + "entropy": 6.286582279205322, + "epoch": 5.485851575013347, + "grad_norm": 1.0546875, + "learning_rate": 0.00027846651263420456, + "loss": 5.6819, + "mean_token_accuracy": 0.1690528392791748, + "num_tokens": 11251357.0, + "step": 5140 + }, + { + "entropy": 6.346102952957153, + "epoch": 5.491190603310198, + "grad_norm": 1.1015625, + "learning_rate": 0.00027804379477239927, + "loss": 5.709, + "mean_token_accuracy": 0.17001670449972153, + "num_tokens": 11262187.0, + "step": 5145 + }, + { + "entropy": 6.346243953704834, + "epoch": 5.496529631607047, + "grad_norm": 1.0859375, + "learning_rate": 0.00027762106616470276, + "loss": 5.7154, + "mean_token_accuracy": 0.16876792460680007, + "num_tokens": 11272711.0, + "step": 5150 + }, + { + "entropy": 6.369475269317627, + "epoch": 5.501868659903898, + "grad_norm": 1.2265625, + "learning_rate": 0.000277198328303527, + "loss": 5.6705, + "mean_token_accuracy": 0.17209891378879547, + "num_tokens": 11283022.0, + "step": 5155 + }, + { + "entropy": 6.379570722579956, + "epoch": 5.507207688200747, + "grad_norm": 1.1015625, + "learning_rate": 0.00027677558268131655, + "loss": 5.7516, + "mean_token_accuracy": 0.16407181173563004, + "num_tokens": 11293469.0, + "step": 5160 + }, + { + "entropy": 6.325233125686646, + "epoch": 5.512546716497598, + "grad_norm": 1.0546875, + "learning_rate": 0.0002763528307905435, + "loss": 5.6836, + "mean_token_accuracy": 0.1714015170931816, + "num_tokens": 11304555.0, + "step": 5165 + }, + { + "entropy": 6.3725221157073975, + "epoch": 5.517885744794447, + "grad_norm": 1.03125, + "learning_rate": 0.00027593007412370194, + "loss": 5.76, + "mean_token_accuracy": 0.1653032273054123, + "num_tokens": 11316089.0, + "step": 5170 + }, + { + "entropy": 6.396354389190674, + "epoch": 5.523224773091298, + "grad_norm": 1.046875, + "learning_rate": 0.0002755073141733027, + "loss": 5.7527, + "mean_token_accuracy": 0.1662668615579605, + "num_tokens": 11327636.0, + "step": 5175 + }, + { + "entropy": 6.385932922363281, + "epoch": 5.528563801388147, + "grad_norm": 1.1640625, + "learning_rate": 0.0002750845524318686, + "loss": 5.7326, + "mean_token_accuracy": 0.171891513466835, + "num_tokens": 11338178.0, + "step": 5180 + }, + { + "entropy": 6.30861268043518, + "epoch": 5.5339028296849975, + "grad_norm": 1.140625, + "learning_rate": 0.00027466179039192833, + "loss": 5.6418, + "mean_token_accuracy": 0.17382311820983887, + "num_tokens": 11349138.0, + "step": 5185 + }, + { + "entropy": 6.272126007080078, + "epoch": 5.539241857981847, + "grad_norm": 1.1015625, + "learning_rate": 0.000274239029546012, + "loss": 5.6875, + "mean_token_accuracy": 0.17363980263471604, + "num_tokens": 11359926.0, + "step": 5190 + }, + { + "entropy": 6.331406784057617, + "epoch": 5.544580886278697, + "grad_norm": 0.9765625, + "learning_rate": 0.0002738162713866453, + "loss": 5.6715, + "mean_token_accuracy": 0.1712009072303772, + "num_tokens": 11371235.0, + "step": 5195 + }, + { + "entropy": 6.3823121070861815, + "epoch": 5.549919914575547, + "grad_norm": 1.0703125, + "learning_rate": 0.00027339351740634436, + "loss": 5.6958, + "mean_token_accuracy": 0.17318181097507476, + "num_tokens": 11381545.0, + "step": 5200 + }, + { + "entropy": 6.321549987792968, + "epoch": 5.555258942872397, + "grad_norm": 1.0390625, + "learning_rate": 0.000272970769097611, + "loss": 5.6893, + "mean_token_accuracy": 0.1728147089481354, + "num_tokens": 11392785.0, + "step": 5205 + }, + { + "entropy": 6.35057806968689, + "epoch": 5.560597971169247, + "grad_norm": 1.2578125, + "learning_rate": 0.00027254802795292633, + "loss": 5.7731, + "mean_token_accuracy": 0.16422995030879975, + "num_tokens": 11403263.0, + "step": 5210 + }, + { + "entropy": 6.347456312179565, + "epoch": 5.565936999466097, + "grad_norm": 1.0078125, + "learning_rate": 0.00027212529546474676, + "loss": 5.7354, + "mean_token_accuracy": 0.16245418637990952, + "num_tokens": 11414543.0, + "step": 5215 + }, + { + "entropy": 6.324865484237671, + "epoch": 5.571276027762947, + "grad_norm": 1.1328125, + "learning_rate": 0.0002717025731254978, + "loss": 5.6225, + "mean_token_accuracy": 0.18328625112771987, + "num_tokens": 11424942.0, + "step": 5220 + }, + { + "entropy": 6.362385845184326, + "epoch": 5.576615056059797, + "grad_norm": 1.0234375, + "learning_rate": 0.00027127986242756933, + "loss": 5.6685, + "mean_token_accuracy": 0.17098136097192765, + "num_tokens": 11435537.0, + "step": 5225 + }, + { + "entropy": 6.340441131591797, + "epoch": 5.5819540843566475, + "grad_norm": 1.171875, + "learning_rate": 0.00027085716486331007, + "loss": 5.6594, + "mean_token_accuracy": 0.17434974610805512, + "num_tokens": 11446465.0, + "step": 5230 + }, + { + "entropy": 6.375800085067749, + "epoch": 5.587293112653497, + "grad_norm": 1.0390625, + "learning_rate": 0.00027043448192502225, + "loss": 5.728, + "mean_token_accuracy": 0.17118730247020722, + "num_tokens": 11457618.0, + "step": 5235 + }, + { + "entropy": 6.3312904834747314, + "epoch": 5.5926321409503466, + "grad_norm": 1.0625, + "learning_rate": 0.00027001181510495664, + "loss": 5.6882, + "mean_token_accuracy": 0.17196964472532272, + "num_tokens": 11468586.0, + "step": 5240 + }, + { + "entropy": 6.303575944900513, + "epoch": 5.597971169247197, + "grad_norm": 1.0234375, + "learning_rate": 0.00026958916589530697, + "loss": 5.6982, + "mean_token_accuracy": 0.16687122881412506, + "num_tokens": 11481160.0, + "step": 5245 + }, + { + "entropy": 6.36999282836914, + "epoch": 5.603310197544047, + "grad_norm": 1.1953125, + "learning_rate": 0.00026916653578820486, + "loss": 5.7427, + "mean_token_accuracy": 0.17406813949346542, + "num_tokens": 11493490.0, + "step": 5250 + }, + { + "entropy": 6.353348350524902, + "epoch": 5.608649225840897, + "grad_norm": 1.1484375, + "learning_rate": 0.00026874392627571455, + "loss": 5.6679, + "mean_token_accuracy": 0.1726611539721489, + "num_tokens": 11505194.0, + "step": 5255 + }, + { + "entropy": 6.292462539672852, + "epoch": 5.613988254137747, + "grad_norm": 1.09375, + "learning_rate": 0.0002683213388498274, + "loss": 5.6491, + "mean_token_accuracy": 0.18231137245893478, + "num_tokens": 11515710.0, + "step": 5260 + }, + { + "entropy": 6.312755346298218, + "epoch": 5.619327282434597, + "grad_norm": 1.09375, + "learning_rate": 0.00026789877500245704, + "loss": 5.6932, + "mean_token_accuracy": 0.17089592665433884, + "num_tokens": 11525599.0, + "step": 5265 + }, + { + "entropy": 6.346545267105102, + "epoch": 5.624666310731447, + "grad_norm": 1.1484375, + "learning_rate": 0.0002674762362254337, + "loss": 5.6728, + "mean_token_accuracy": 0.16902205348014832, + "num_tokens": 11536308.0, + "step": 5270 + }, + { + "entropy": 6.343692779541016, + "epoch": 5.630005339028297, + "grad_norm": 1.15625, + "learning_rate": 0.00026705372401049897, + "loss": 5.6705, + "mean_token_accuracy": 0.17369551062583924, + "num_tokens": 11546530.0, + "step": 5275 + }, + { + "entropy": 6.331171655654908, + "epoch": 5.635344367325147, + "grad_norm": 0.9453125, + "learning_rate": 0.000266631239849301, + "loss": 5.7249, + "mean_token_accuracy": 0.17059761583805083, + "num_tokens": 11558540.0, + "step": 5280 + }, + { + "entropy": 6.311120510101318, + "epoch": 5.640683395621997, + "grad_norm": 1.09375, + "learning_rate": 0.0002662087852333886, + "loss": 5.7066, + "mean_token_accuracy": 0.1674735203385353, + "num_tokens": 11569750.0, + "step": 5285 + }, + { + "entropy": 6.379989147186279, + "epoch": 5.646022423918847, + "grad_norm": 0.94140625, + "learning_rate": 0.00026578636165420637, + "loss": 5.7141, + "mean_token_accuracy": 0.16615591198205948, + "num_tokens": 11580773.0, + "step": 5290 + }, + { + "entropy": 6.374867630004883, + "epoch": 5.6513614522156965, + "grad_norm": 1.15625, + "learning_rate": 0.00026536397060308945, + "loss": 5.7459, + "mean_token_accuracy": 0.1622788906097412, + "num_tokens": 11592087.0, + "step": 5295 + }, + { + "entropy": 6.348657894134521, + "epoch": 5.656700480512547, + "grad_norm": 1.109375, + "learning_rate": 0.000264941613571258, + "loss": 5.7473, + "mean_token_accuracy": 0.1680184170603752, + "num_tokens": 11603234.0, + "step": 5300 + }, + { + "entropy": 6.328213453292847, + "epoch": 5.662039508809396, + "grad_norm": 1.109375, + "learning_rate": 0.0002645192920498122, + "loss": 5.6764, + "mean_token_accuracy": 0.17510985732078552, + "num_tokens": 11613849.0, + "step": 5305 + }, + { + "entropy": 6.363373613357544, + "epoch": 5.667378537106247, + "grad_norm": 1.1875, + "learning_rate": 0.00026409700752972665, + "loss": 5.6916, + "mean_token_accuracy": 0.17176212668418883, + "num_tokens": 11623972.0, + "step": 5310 + }, + { + "entropy": 6.272594881057739, + "epoch": 5.672717565403096, + "grad_norm": 1.046875, + "learning_rate": 0.00026367476150184556, + "loss": 5.6319, + "mean_token_accuracy": 0.1784251555800438, + "num_tokens": 11634701.0, + "step": 5315 + }, + { + "entropy": 6.238541460037231, + "epoch": 5.678056593699947, + "grad_norm": 1.109375, + "learning_rate": 0.00026325255545687706, + "loss": 5.6208, + "mean_token_accuracy": 0.17861277014017105, + "num_tokens": 11644138.0, + "step": 5320 + }, + { + "entropy": 6.30879054069519, + "epoch": 5.683395621996796, + "grad_norm": 1.078125, + "learning_rate": 0.0002628303908853882, + "loss": 5.6758, + "mean_token_accuracy": 0.1733354464173317, + "num_tokens": 11655807.0, + "step": 5325 + }, + { + "entropy": 6.308476877212525, + "epoch": 5.688734650293647, + "grad_norm": 1.078125, + "learning_rate": 0.00026240826927779976, + "loss": 5.6959, + "mean_token_accuracy": 0.16817405223846435, + "num_tokens": 11667111.0, + "step": 5330 + }, + { + "entropy": 6.402845287322998, + "epoch": 5.694073678590496, + "grad_norm": 0.9140625, + "learning_rate": 0.0002619861921243806, + "loss": 5.7185, + "mean_token_accuracy": 0.17394309788942336, + "num_tokens": 11678205.0, + "step": 5335 + }, + { + "entropy": 6.3389698505401615, + "epoch": 5.699412706887347, + "grad_norm": 1.0625, + "learning_rate": 0.00026156416091524276, + "loss": 5.673, + "mean_token_accuracy": 0.17586482614278792, + "num_tokens": 11688334.0, + "step": 5340 + }, + { + "entropy": 6.3289553165435795, + "epoch": 5.704751735184196, + "grad_norm": 1.0390625, + "learning_rate": 0.000261142177140336, + "loss": 5.6347, + "mean_token_accuracy": 0.17235073149204255, + "num_tokens": 11699395.0, + "step": 5345 + }, + { + "entropy": 6.266600704193115, + "epoch": 5.7100907634810465, + "grad_norm": 1.046875, + "learning_rate": 0.00026072024228944267, + "loss": 5.6061, + "mean_token_accuracy": 0.18524847328662872, + "num_tokens": 11710454.0, + "step": 5350 + }, + { + "entropy": 6.344654512405396, + "epoch": 5.715429791777897, + "grad_norm": 1.046875, + "learning_rate": 0.0002602983578521725, + "loss": 5.6318, + "mean_token_accuracy": 0.17262564450502396, + "num_tokens": 11721980.0, + "step": 5355 + }, + { + "entropy": 6.333229446411133, + "epoch": 5.720768820074746, + "grad_norm": 1.1015625, + "learning_rate": 0.00025987652531795697, + "loss": 5.6839, + "mean_token_accuracy": 0.1802364245057106, + "num_tokens": 11733826.0, + "step": 5360 + }, + { + "entropy": 6.3234271049499515, + "epoch": 5.726107848371596, + "grad_norm": 1.0859375, + "learning_rate": 0.00025945474617604456, + "loss": 5.7411, + "mean_token_accuracy": 0.17659412920475007, + "num_tokens": 11744729.0, + "step": 5365 + }, + { + "entropy": 6.2692749977111815, + "epoch": 5.731446876668446, + "grad_norm": 1.125, + "learning_rate": 0.0002590330219154954, + "loss": 5.6853, + "mean_token_accuracy": 0.17409733533859253, + "num_tokens": 11755934.0, + "step": 5370 + }, + { + "entropy": 6.382311153411865, + "epoch": 5.736785904965297, + "grad_norm": 1.21875, + "learning_rate": 0.0002586113540251753, + "loss": 5.7085, + "mean_token_accuracy": 0.178350730240345, + "num_tokens": 11766501.0, + "step": 5375 + }, + { + "entropy": 6.392430973052979, + "epoch": 5.742124933262146, + "grad_norm": 1.046875, + "learning_rate": 0.0002581897439937515, + "loss": 5.7553, + "mean_token_accuracy": 0.16536930203437805, + "num_tokens": 11777731.0, + "step": 5380 + }, + { + "entropy": 6.312212419509888, + "epoch": 5.747463961558997, + "grad_norm": 1.1796875, + "learning_rate": 0.0002577681933096869, + "loss": 5.7048, + "mean_token_accuracy": 0.17177869379520416, + "num_tokens": 11788061.0, + "step": 5385 + }, + { + "entropy": 6.266093730926514, + "epoch": 5.752802989855846, + "grad_norm": 1.140625, + "learning_rate": 0.00025734670346123494, + "loss": 5.5841, + "mean_token_accuracy": 0.177488249540329, + "num_tokens": 11797783.0, + "step": 5390 + }, + { + "entropy": 6.325652122497559, + "epoch": 5.7581420181526966, + "grad_norm": 1.0234375, + "learning_rate": 0.00025692527593643405, + "loss": 5.7577, + "mean_token_accuracy": 0.16489865630865097, + "num_tokens": 11809112.0, + "step": 5395 + }, + { + "entropy": 6.369477891921997, + "epoch": 5.763481046449546, + "grad_norm": 1.046875, + "learning_rate": 0.00025650391222310293, + "loss": 5.6616, + "mean_token_accuracy": 0.16763915121555328, + "num_tokens": 11819804.0, + "step": 5400 + }, + { + "entropy": 6.344639253616333, + "epoch": 5.7688200747463965, + "grad_norm": 0.98046875, + "learning_rate": 0.0002560826138088347, + "loss": 5.7006, + "mean_token_accuracy": 0.17343638390302657, + "num_tokens": 11831397.0, + "step": 5405 + }, + { + "entropy": 6.286445760726929, + "epoch": 5.774159103043246, + "grad_norm": 1.046875, + "learning_rate": 0.00025566138218099217, + "loss": 5.6198, + "mean_token_accuracy": 0.17345215380191803, + "num_tokens": 11842395.0, + "step": 5410 + }, + { + "entropy": 6.297845935821533, + "epoch": 5.779498131340096, + "grad_norm": 1.1640625, + "learning_rate": 0.0002552402188267023, + "loss": 5.7067, + "mean_token_accuracy": 0.17351611852645873, + "num_tokens": 11853314.0, + "step": 5415 + }, + { + "entropy": 6.262566709518433, + "epoch": 5.784837159636946, + "grad_norm": 1.1328125, + "learning_rate": 0.00025481912523285093, + "loss": 5.6391, + "mean_token_accuracy": 0.17077697217464446, + "num_tokens": 11863836.0, + "step": 5420 + }, + { + "entropy": 6.265786457061767, + "epoch": 5.790176187933796, + "grad_norm": 1.1015625, + "learning_rate": 0.00025439810288607783, + "loss": 5.5906, + "mean_token_accuracy": 0.1804139643907547, + "num_tokens": 11875198.0, + "step": 5425 + }, + { + "entropy": 6.317636013031006, + "epoch": 5.795515216230646, + "grad_norm": 1.0859375, + "learning_rate": 0.00025397715327277095, + "loss": 5.7225, + "mean_token_accuracy": 0.1702480509877205, + "num_tokens": 11885653.0, + "step": 5430 + }, + { + "entropy": 6.372118854522705, + "epoch": 5.800854244527496, + "grad_norm": 1.1953125, + "learning_rate": 0.00025355627787906177, + "loss": 5.7239, + "mean_token_accuracy": 0.17125837802886962, + "num_tokens": 11896393.0, + "step": 5435 + }, + { + "entropy": 6.249027299880981, + "epoch": 5.806193272824346, + "grad_norm": 1.0859375, + "learning_rate": 0.0002531354781908194, + "loss": 5.6742, + "mean_token_accuracy": 0.17184996008872985, + "num_tokens": 11907935.0, + "step": 5440 + }, + { + "entropy": 6.373139715194702, + "epoch": 5.811532301121196, + "grad_norm": 0.9765625, + "learning_rate": 0.00025271475569364586, + "loss": 5.7031, + "mean_token_accuracy": 0.16964334696531297, + "num_tokens": 11918388.0, + "step": 5445 + }, + { + "entropy": 6.3742577075958256, + "epoch": 5.816871329418046, + "grad_norm": 1.0546875, + "learning_rate": 0.0002522941118728709, + "loss": 5.6929, + "mean_token_accuracy": 0.1735077306628227, + "num_tokens": 11928438.0, + "step": 5450 + }, + { + "entropy": 6.368045902252197, + "epoch": 5.822210357714896, + "grad_norm": 1.0703125, + "learning_rate": 0.00025187354821354596, + "loss": 5.7524, + "mean_token_accuracy": 0.16163920015096664, + "num_tokens": 11939344.0, + "step": 5455 + }, + { + "entropy": 6.306874752044678, + "epoch": 5.8275493860117455, + "grad_norm": 1.078125, + "learning_rate": 0.00025145306620043994, + "loss": 5.6972, + "mean_token_accuracy": 0.16952828019857408, + "num_tokens": 11950968.0, + "step": 5460 + }, + { + "entropy": 6.356746006011963, + "epoch": 5.832888414308596, + "grad_norm": 1.03125, + "learning_rate": 0.0002510326673180333, + "loss": 5.6509, + "mean_token_accuracy": 0.17609124928712844, + "num_tokens": 11962832.0, + "step": 5465 + }, + { + "entropy": 6.325391578674316, + "epoch": 5.8382274426054455, + "grad_norm": 1.2890625, + "learning_rate": 0.0002506123530505132, + "loss": 5.6429, + "mean_token_accuracy": 0.17825517505407334, + "num_tokens": 11972528.0, + "step": 5470 + }, + { + "entropy": 6.346975374221802, + "epoch": 5.843566470902296, + "grad_norm": 1.1015625, + "learning_rate": 0.00025019212488176757, + "loss": 5.7381, + "mean_token_accuracy": 0.1736564815044403, + "num_tokens": 11983786.0, + "step": 5475 + }, + { + "entropy": 6.294334602355957, + "epoch": 5.848905499199145, + "grad_norm": 1.1953125, + "learning_rate": 0.00024977198429538096, + "loss": 5.6388, + "mean_token_accuracy": 0.16715028882026672, + "num_tokens": 11995299.0, + "step": 5480 + }, + { + "entropy": 6.325953817367553, + "epoch": 5.854244527495996, + "grad_norm": 1.1015625, + "learning_rate": 0.00024935193277462835, + "loss": 5.6638, + "mean_token_accuracy": 0.17183291912078857, + "num_tokens": 12006846.0, + "step": 5485 + }, + { + "entropy": 6.31584792137146, + "epoch": 5.859583555792845, + "grad_norm": 1.1484375, + "learning_rate": 0.00024893197180247056, + "loss": 5.5542, + "mean_token_accuracy": 0.1834078386425972, + "num_tokens": 12016937.0, + "step": 5490 + }, + { + "entropy": 6.333651113510132, + "epoch": 5.864922584089696, + "grad_norm": 1.109375, + "learning_rate": 0.00024851210286154854, + "loss": 5.6567, + "mean_token_accuracy": 0.17022206485271454, + "num_tokens": 12026860.0, + "step": 5495 + }, + { + "entropy": 6.316498041152954, + "epoch": 5.870261612386546, + "grad_norm": 1.2265625, + "learning_rate": 0.0002480923274341783, + "loss": 5.7139, + "mean_token_accuracy": 0.1723729819059372, + "num_tokens": 12036169.0, + "step": 5500 + }, + { + "epoch": 5.870261612386546, + "eval_entropy": 6.132839763938606, + "eval_loss": 6.555144786834717, + "eval_mean_token_accuracy": 0.13326003254427538, + "eval_num_tokens": 12036169.0, + "eval_runtime": 1.8244, + "eval_samples_per_second": 1688.262, + "eval_steps_per_second": 211.033, + "step": 5500 + }, + { + "entropy": 6.314624404907226, + "epoch": 5.875600640683396, + "grad_norm": 1.1015625, + "learning_rate": 0.0002476726470023459, + "loss": 5.6945, + "mean_token_accuracy": 0.17477745413780213, + "num_tokens": 12047086.0, + "step": 5505 + }, + { + "entropy": 6.289700126647949, + "epoch": 5.880939668980245, + "grad_norm": 1.2421875, + "learning_rate": 0.0002472530630477017, + "loss": 5.6497, + "mean_token_accuracy": 0.17475370615720748, + "num_tokens": 12057407.0, + "step": 5510 + }, + { + "entropy": 6.396420860290528, + "epoch": 5.8862786972770955, + "grad_norm": 1.1875, + "learning_rate": 0.0002468335770515559, + "loss": 5.7059, + "mean_token_accuracy": 0.16928656101226808, + "num_tokens": 12068028.0, + "step": 5515 + }, + { + "entropy": 6.312612390518188, + "epoch": 5.891617725573946, + "grad_norm": 1.234375, + "learning_rate": 0.00024641419049487246, + "loss": 5.6024, + "mean_token_accuracy": 0.17720211148262024, + "num_tokens": 12078362.0, + "step": 5520 + }, + { + "entropy": 6.308467864990234, + "epoch": 5.896956753870795, + "grad_norm": 1.1015625, + "learning_rate": 0.00024599490485826446, + "loss": 5.6803, + "mean_token_accuracy": 0.17163989543914795, + "num_tokens": 12089854.0, + "step": 5525 + }, + { + "entropy": 6.3653336524963375, + "epoch": 5.902295782167646, + "grad_norm": 1.1640625, + "learning_rate": 0.00024557572162198883, + "loss": 5.7196, + "mean_token_accuracy": 0.1672852575778961, + "num_tokens": 12100886.0, + "step": 5530 + }, + { + "entropy": 6.348902845382691, + "epoch": 5.907634810464495, + "grad_norm": 1.046875, + "learning_rate": 0.0002451566422659407, + "loss": 5.7, + "mean_token_accuracy": 0.17318319976329805, + "num_tokens": 12112747.0, + "step": 5535 + }, + { + "entropy": 6.347790002822876, + "epoch": 5.912973838761346, + "grad_norm": 1.03125, + "learning_rate": 0.0002447376682696485, + "loss": 5.7365, + "mean_token_accuracy": 0.16582491248846054, + "num_tokens": 12123730.0, + "step": 5540 + }, + { + "entropy": 6.374050569534302, + "epoch": 5.918312867058195, + "grad_norm": 1.046875, + "learning_rate": 0.0002443188011122689, + "loss": 5.8037, + "mean_token_accuracy": 0.16277724206447602, + "num_tokens": 12135870.0, + "step": 5545 + }, + { + "entropy": 6.372762632369995, + "epoch": 5.923651895355046, + "grad_norm": 1.0625, + "learning_rate": 0.00024390004227258123, + "loss": 5.6862, + "mean_token_accuracy": 0.18058872371912002, + "num_tokens": 12146826.0, + "step": 5550 + }, + { + "entropy": 6.291637754440307, + "epoch": 5.928990923651895, + "grad_norm": 0.97265625, + "learning_rate": 0.0002434813932289825, + "loss": 5.7145, + "mean_token_accuracy": 0.16549645662307738, + "num_tokens": 12159586.0, + "step": 5555 + }, + { + "entropy": 6.307714939117432, + "epoch": 5.934329951948746, + "grad_norm": 1.203125, + "learning_rate": 0.00024306285545948192, + "loss": 5.6193, + "mean_token_accuracy": 0.1726786732673645, + "num_tokens": 12170162.0, + "step": 5560 + }, + { + "entropy": 6.381466817855835, + "epoch": 5.939668980245595, + "grad_norm": 1.0546875, + "learning_rate": 0.00024264443044169615, + "loss": 5.738, + "mean_token_accuracy": 0.1712544173002243, + "num_tokens": 12181208.0, + "step": 5565 + }, + { + "entropy": 6.326228046417237, + "epoch": 5.9450080085424455, + "grad_norm": 1.1796875, + "learning_rate": 0.00024222611965284341, + "loss": 5.7158, + "mean_token_accuracy": 0.17157405018806457, + "num_tokens": 12192438.0, + "step": 5570 + }, + { + "entropy": 6.284603929519653, + "epoch": 5.950347036839295, + "grad_norm": 1.109375, + "learning_rate": 0.00024180792456973894, + "loss": 5.6573, + "mean_token_accuracy": 0.17318402975797653, + "num_tokens": 12203863.0, + "step": 5575 + }, + { + "entropy": 6.314238405227661, + "epoch": 5.955686065136145, + "grad_norm": 1.1875, + "learning_rate": 0.0002413898466687894, + "loss": 5.6864, + "mean_token_accuracy": 0.1683388128876686, + "num_tokens": 12213561.0, + "step": 5580 + }, + { + "entropy": 6.3632911205291744, + "epoch": 5.961025093432995, + "grad_norm": 1.234375, + "learning_rate": 0.00024097188742598768, + "loss": 5.7269, + "mean_token_accuracy": 0.16977357864379883, + "num_tokens": 12224140.0, + "step": 5585 + }, + { + "entropy": 6.374677467346191, + "epoch": 5.966364121729845, + "grad_norm": 1.1171875, + "learning_rate": 0.0002405540483169079, + "loss": 5.6601, + "mean_token_accuracy": 0.17816300988197326, + "num_tokens": 12235654.0, + "step": 5590 + }, + { + "entropy": 6.33419132232666, + "epoch": 5.971703150026695, + "grad_norm": 1.1484375, + "learning_rate": 0.00024013633081669994, + "loss": 5.7473, + "mean_token_accuracy": 0.1661536157131195, + "num_tokens": 12247255.0, + "step": 5595 + }, + { + "entropy": 6.31337947845459, + "epoch": 5.977042178323545, + "grad_norm": 1.03125, + "learning_rate": 0.0002397187364000844, + "loss": 5.6823, + "mean_token_accuracy": 0.17041108906269073, + "num_tokens": 12258651.0, + "step": 5600 + }, + { + "entropy": 6.351841115951538, + "epoch": 5.982381206620395, + "grad_norm": 1.1328125, + "learning_rate": 0.00023930126654134732, + "loss": 5.6295, + "mean_token_accuracy": 0.1734935835003853, + "num_tokens": 12269005.0, + "step": 5605 + }, + { + "entropy": 6.288322877883911, + "epoch": 5.987720234917245, + "grad_norm": 1.171875, + "learning_rate": 0.0002388839227143349, + "loss": 5.7215, + "mean_token_accuracy": 0.16935435086488723, + "num_tokens": 12279727.0, + "step": 5610 + }, + { + "entropy": 6.2979058742523195, + "epoch": 5.993059263214095, + "grad_norm": 1.0234375, + "learning_rate": 0.00023846670639244866, + "loss": 5.6719, + "mean_token_accuracy": 0.17470595985651016, + "num_tokens": 12290765.0, + "step": 5615 + }, + { + "entropy": 6.295067024230957, + "epoch": 5.998398291510945, + "grad_norm": 1.125, + "learning_rate": 0.00023804961904863969, + "loss": 5.7007, + "mean_token_accuracy": 0.17165803164243698, + "num_tokens": 12303014.0, + "step": 5620 + }, + { + "entropy": 6.364009963141547, + "epoch": 6.00320341697811, + "grad_norm": 1.078125, + "learning_rate": 0.0002376326621554039, + "loss": 5.6442, + "mean_token_accuracy": 0.17100713153680167, + "num_tokens": 12312009.0, + "step": 5625 + }, + { + "entropy": 6.327949523925781, + "epoch": 6.00854244527496, + "grad_norm": 1.0078125, + "learning_rate": 0.00023721583718477673, + "loss": 5.52, + "mean_token_accuracy": 0.18202630132436753, + "num_tokens": 12323417.0, + "step": 5630 + }, + { + "entropy": 6.3348822593688965, + "epoch": 6.01388147357181, + "grad_norm": 1.0625, + "learning_rate": 0.0002367991456083275, + "loss": 5.5289, + "mean_token_accuracy": 0.19252616167068481, + "num_tokens": 12333611.0, + "step": 5635 + }, + { + "entropy": 6.343252229690552, + "epoch": 6.01922050186866, + "grad_norm": 1.1953125, + "learning_rate": 0.000236382588897155, + "loss": 5.5416, + "mean_token_accuracy": 0.17564734518527986, + "num_tokens": 12343790.0, + "step": 5640 + }, + { + "entropy": 6.236243009567261, + "epoch": 6.02455953016551, + "grad_norm": 1.1484375, + "learning_rate": 0.00023596616852188164, + "loss": 5.4272, + "mean_token_accuracy": 0.1880975544452667, + "num_tokens": 12353667.0, + "step": 5645 + }, + { + "entropy": 6.301973009109497, + "epoch": 6.02989855846236, + "grad_norm": 1.0625, + "learning_rate": 0.0002355498859526487, + "loss": 5.4312, + "mean_token_accuracy": 0.19881273210048675, + "num_tokens": 12363582.0, + "step": 5650 + }, + { + "entropy": 6.354191589355469, + "epoch": 6.03523758675921, + "grad_norm": 1.078125, + "learning_rate": 0.00023513374265911086, + "loss": 5.5048, + "mean_token_accuracy": 0.18463512510061264, + "num_tokens": 12373821.0, + "step": 5655 + }, + { + "entropy": 6.3050848007202145, + "epoch": 6.04057661505606, + "grad_norm": 1.125, + "learning_rate": 0.000234717740110431, + "loss": 5.5051, + "mean_token_accuracy": 0.18619876503944396, + "num_tokens": 12385056.0, + "step": 5660 + }, + { + "entropy": 6.331363725662231, + "epoch": 6.0459156433529095, + "grad_norm": 1.0546875, + "learning_rate": 0.00023430187977527533, + "loss": 5.5146, + "mean_token_accuracy": 0.18862221390008926, + "num_tokens": 12396694.0, + "step": 5665 + }, + { + "entropy": 6.216295480728149, + "epoch": 6.05125467164976, + "grad_norm": 1.1328125, + "learning_rate": 0.00023388616312180766, + "loss": 5.4623, + "mean_token_accuracy": 0.18716894537210466, + "num_tokens": 12408688.0, + "step": 5670 + }, + { + "entropy": 6.360234975814819, + "epoch": 6.0565936999466095, + "grad_norm": 1.1640625, + "learning_rate": 0.0002334705916176848, + "loss": 5.5172, + "mean_token_accuracy": 0.18779598027467728, + "num_tokens": 12419789.0, + "step": 5675 + }, + { + "entropy": 6.36201434135437, + "epoch": 6.06193272824346, + "grad_norm": 1.140625, + "learning_rate": 0.00023305516673005112, + "loss": 5.5486, + "mean_token_accuracy": 0.18714220821857452, + "num_tokens": 12431380.0, + "step": 5680 + }, + { + "entropy": 6.357383584976196, + "epoch": 6.067271756540309, + "grad_norm": 1.171875, + "learning_rate": 0.0002326398899255332, + "loss": 5.4941, + "mean_token_accuracy": 0.18233438730239868, + "num_tokens": 12442314.0, + "step": 5685 + }, + { + "entropy": 6.314443349838257, + "epoch": 6.07261078483716, + "grad_norm": 1.0703125, + "learning_rate": 0.00023222476267023508, + "loss": 5.6087, + "mean_token_accuracy": 0.17443327456712723, + "num_tokens": 12454371.0, + "step": 5690 + }, + { + "entropy": 6.342440605163574, + "epoch": 6.077949813134009, + "grad_norm": 1.1328125, + "learning_rate": 0.00023180978642973248, + "loss": 5.525, + "mean_token_accuracy": 0.18542657196521758, + "num_tokens": 12465923.0, + "step": 5695 + }, + { + "entropy": 6.264341878890991, + "epoch": 6.08328884143086, + "grad_norm": 1.09375, + "learning_rate": 0.00023139496266906835, + "loss": 5.4366, + "mean_token_accuracy": 0.192969910800457, + "num_tokens": 12476152.0, + "step": 5700 + }, + { + "entropy": 6.230353879928589, + "epoch": 6.088627869727709, + "grad_norm": 1.1484375, + "learning_rate": 0.00023098029285274703, + "loss": 5.4205, + "mean_token_accuracy": 0.19613498598337173, + "num_tokens": 12487546.0, + "step": 5705 + }, + { + "entropy": 6.316088533401489, + "epoch": 6.09396689802456, + "grad_norm": 1.0546875, + "learning_rate": 0.00023056577844472948, + "loss": 5.5624, + "mean_token_accuracy": 0.18258665949106218, + "num_tokens": 12498851.0, + "step": 5710 + }, + { + "entropy": 6.330278158187866, + "epoch": 6.099305926321409, + "grad_norm": 1.1328125, + "learning_rate": 0.00023015142090842807, + "loss": 5.4701, + "mean_token_accuracy": 0.18922051340341567, + "num_tokens": 12510005.0, + "step": 5715 + }, + { + "entropy": 6.313366460800171, + "epoch": 6.1046449546182595, + "grad_norm": 1.1953125, + "learning_rate": 0.0002297372217067012, + "loss": 5.5339, + "mean_token_accuracy": 0.1863625854253769, + "num_tokens": 12521058.0, + "step": 5720 + }, + { + "entropy": 6.237168836593628, + "epoch": 6.109983982915109, + "grad_norm": 1.2109375, + "learning_rate": 0.00022932318230184845, + "loss": 5.4051, + "mean_token_accuracy": 0.18609307259321212, + "num_tokens": 12533207.0, + "step": 5725 + }, + { + "entropy": 6.276350736618042, + "epoch": 6.115323011211959, + "grad_norm": 0.98828125, + "learning_rate": 0.00022890930415560523, + "loss": 5.5515, + "mean_token_accuracy": 0.177360463142395, + "num_tokens": 12544689.0, + "step": 5730 + }, + { + "entropy": 6.287495279312134, + "epoch": 6.12066203950881, + "grad_norm": 1.1015625, + "learning_rate": 0.00022849558872913733, + "loss": 5.512, + "mean_token_accuracy": 0.18004681915044785, + "num_tokens": 12555502.0, + "step": 5735 + }, + { + "entropy": 6.306123733520508, + "epoch": 6.126001067805659, + "grad_norm": 1.171875, + "learning_rate": 0.0002280820374830364, + "loss": 5.5281, + "mean_token_accuracy": 0.17885361164808272, + "num_tokens": 12567012.0, + "step": 5740 + }, + { + "entropy": 6.303791046142578, + "epoch": 6.13134009610251, + "grad_norm": 1.1640625, + "learning_rate": 0.00022766865187731438, + "loss": 5.5278, + "mean_token_accuracy": 0.18501299619674683, + "num_tokens": 12577851.0, + "step": 5745 + }, + { + "entropy": 6.28567943572998, + "epoch": 6.136679124399359, + "grad_norm": 1.0625, + "learning_rate": 0.0002272554333713986, + "loss": 5.5241, + "mean_token_accuracy": 0.18573147505521775, + "num_tokens": 12588382.0, + "step": 5750 + }, + { + "entropy": 6.271179485321045, + "epoch": 6.14201815269621, + "grad_norm": 1.1640625, + "learning_rate": 0.000226842383424126, + "loss": 5.5142, + "mean_token_accuracy": 0.17466562241315842, + "num_tokens": 12600374.0, + "step": 5755 + }, + { + "entropy": 6.318966388702393, + "epoch": 6.147357180993059, + "grad_norm": 1.2109375, + "learning_rate": 0.00022642950349373897, + "loss": 5.4968, + "mean_token_accuracy": 0.18892965614795684, + "num_tokens": 12611228.0, + "step": 5760 + }, + { + "entropy": 6.280329751968384, + "epoch": 6.15269620928991, + "grad_norm": 1.0, + "learning_rate": 0.00022601679503787925, + "loss": 5.5105, + "mean_token_accuracy": 0.18153341859579086, + "num_tokens": 12623096.0, + "step": 5765 + }, + { + "entropy": 6.284728384017944, + "epoch": 6.158035237586759, + "grad_norm": 1.234375, + "learning_rate": 0.00022560425951358333, + "loss": 5.5769, + "mean_token_accuracy": 0.17436710447072984, + "num_tokens": 12633864.0, + "step": 5770 + }, + { + "entropy": 6.330235004425049, + "epoch": 6.1633742658836095, + "grad_norm": 1.0546875, + "learning_rate": 0.00022519189837727727, + "loss": 5.5593, + "mean_token_accuracy": 0.18184018284082412, + "num_tokens": 12644832.0, + "step": 5775 + }, + { + "entropy": 6.215789794921875, + "epoch": 6.168713294180459, + "grad_norm": 1.109375, + "learning_rate": 0.00022477971308477147, + "loss": 5.4848, + "mean_token_accuracy": 0.18760353922843934, + "num_tokens": 12655353.0, + "step": 5780 + }, + { + "entropy": 6.2849150657653805, + "epoch": 6.174052322477309, + "grad_norm": 1.2734375, + "learning_rate": 0.00022436770509125538, + "loss": 5.5196, + "mean_token_accuracy": 0.18099713921546937, + "num_tokens": 12666754.0, + "step": 5785 + }, + { + "entropy": 6.3148720264434814, + "epoch": 6.179391350774159, + "grad_norm": 1.0859375, + "learning_rate": 0.00022395587585129264, + "loss": 5.6045, + "mean_token_accuracy": 0.17165170907974242, + "num_tokens": 12677550.0, + "step": 5790 + }, + { + "entropy": 6.315364980697632, + "epoch": 6.184730379071009, + "grad_norm": 1.1171875, + "learning_rate": 0.00022354422681881576, + "loss": 5.4635, + "mean_token_accuracy": 0.19243646562099456, + "num_tokens": 12688414.0, + "step": 5795 + }, + { + "entropy": 6.331755542755127, + "epoch": 6.190069407367859, + "grad_norm": 1.1015625, + "learning_rate": 0.0002231327594471211, + "loss": 5.5624, + "mean_token_accuracy": 0.18594738394021987, + "num_tokens": 12699998.0, + "step": 5800 + }, + { + "entropy": 6.262127447128296, + "epoch": 6.195408435664709, + "grad_norm": 1.2265625, + "learning_rate": 0.00022272147518886343, + "loss": 5.4805, + "mean_token_accuracy": 0.186960868537426, + "num_tokens": 12711043.0, + "step": 5805 + }, + { + "entropy": 6.298642778396607, + "epoch": 6.200747463961559, + "grad_norm": 1.1171875, + "learning_rate": 0.0002223103754960515, + "loss": 5.5483, + "mean_token_accuracy": 0.1816814735531807, + "num_tokens": 12721425.0, + "step": 5810 + }, + { + "entropy": 6.304767847061157, + "epoch": 6.206086492258409, + "grad_norm": 1.1171875, + "learning_rate": 0.00022189946182004207, + "loss": 5.5381, + "mean_token_accuracy": 0.17976996153593064, + "num_tokens": 12731908.0, + "step": 5815 + }, + { + "entropy": 6.287419080734253, + "epoch": 6.211425520555259, + "grad_norm": 1.015625, + "learning_rate": 0.00022148873561153538, + "loss": 5.511, + "mean_token_accuracy": 0.1849981963634491, + "num_tokens": 12742783.0, + "step": 5820 + }, + { + "entropy": 6.2587018489837645, + "epoch": 6.216764548852109, + "grad_norm": 1.2109375, + "learning_rate": 0.0002210781983205698, + "loss": 5.4744, + "mean_token_accuracy": 0.18162271231412888, + "num_tokens": 12753599.0, + "step": 5825 + }, + { + "entropy": 6.363664674758911, + "epoch": 6.222103577148959, + "grad_norm": 1.25, + "learning_rate": 0.00022066785139651662, + "loss": 5.6172, + "mean_token_accuracy": 0.17767306864261628, + "num_tokens": 12765310.0, + "step": 5830 + }, + { + "entropy": 6.358264780044555, + "epoch": 6.227442605445809, + "grad_norm": 1.2890625, + "learning_rate": 0.00022025769628807523, + "loss": 5.5677, + "mean_token_accuracy": 0.18100647628307343, + "num_tokens": 12776254.0, + "step": 5835 + }, + { + "entropy": 6.380987882614136, + "epoch": 6.2327816337426585, + "grad_norm": 1.0234375, + "learning_rate": 0.00021984773444326772, + "loss": 5.6027, + "mean_token_accuracy": 0.173652546107769, + "num_tokens": 12787963.0, + "step": 5840 + }, + { + "entropy": 6.306836652755737, + "epoch": 6.238120662039509, + "grad_norm": 1.25, + "learning_rate": 0.0002194379673094339, + "loss": 5.5118, + "mean_token_accuracy": 0.18403929471969604, + "num_tokens": 12798733.0, + "step": 5845 + }, + { + "entropy": 6.297771739959717, + "epoch": 6.243459690336358, + "grad_norm": 1.140625, + "learning_rate": 0.00021902839633322618, + "loss": 5.547, + "mean_token_accuracy": 0.18292764127254485, + "num_tokens": 12809485.0, + "step": 5850 + }, + { + "entropy": 6.2989256381988525, + "epoch": 6.248798718633209, + "grad_norm": 1.1875, + "learning_rate": 0.00021861902296060448, + "loss": 5.5211, + "mean_token_accuracy": 0.18578432649374008, + "num_tokens": 12820079.0, + "step": 5855 + }, + { + "entropy": 6.329894781112671, + "epoch": 6.254137746930059, + "grad_norm": 1.21875, + "learning_rate": 0.00021820984863683113, + "loss": 5.5886, + "mean_token_accuracy": 0.1779401034116745, + "num_tokens": 12830495.0, + "step": 5860 + }, + { + "entropy": 6.249867868423462, + "epoch": 6.259476775226909, + "grad_norm": 1.203125, + "learning_rate": 0.00021780087480646548, + "loss": 5.5872, + "mean_token_accuracy": 0.1794280156493187, + "num_tokens": 12841362.0, + "step": 5865 + }, + { + "entropy": 6.23549256324768, + "epoch": 6.264815803523758, + "grad_norm": 1.171875, + "learning_rate": 0.00021739210291335937, + "loss": 5.3842, + "mean_token_accuracy": 0.19200924336910247, + "num_tokens": 12852227.0, + "step": 5870 + }, + { + "entropy": 6.34181489944458, + "epoch": 6.270154831820609, + "grad_norm": 1.0859375, + "learning_rate": 0.0002169835344006515, + "loss": 5.5235, + "mean_token_accuracy": 0.18425769805908204, + "num_tokens": 12862853.0, + "step": 5875 + }, + { + "entropy": 6.316803693771362, + "epoch": 6.275493860117459, + "grad_norm": 1.0859375, + "learning_rate": 0.00021657517071076266, + "loss": 5.5947, + "mean_token_accuracy": 0.1759370505809784, + "num_tokens": 12874092.0, + "step": 5880 + }, + { + "entropy": 6.28931770324707, + "epoch": 6.2808328884143085, + "grad_norm": 0.96875, + "learning_rate": 0.00021616701328539057, + "loss": 5.5461, + "mean_token_accuracy": 0.18204266130924224, + "num_tokens": 12885265.0, + "step": 5885 + }, + { + "entropy": 6.337766838073731, + "epoch": 6.286171916711159, + "grad_norm": 1.203125, + "learning_rate": 0.00021575906356550463, + "loss": 5.5164, + "mean_token_accuracy": 0.18724005669355392, + "num_tokens": 12896029.0, + "step": 5890 + }, + { + "entropy": 6.351672267913818, + "epoch": 6.2915109450080084, + "grad_norm": 1.1015625, + "learning_rate": 0.00021535132299134097, + "loss": 5.538, + "mean_token_accuracy": 0.1854406401515007, + "num_tokens": 12906920.0, + "step": 5895 + }, + { + "entropy": 6.313889074325561, + "epoch": 6.296849973304859, + "grad_norm": 1.265625, + "learning_rate": 0.0002149437930023974, + "loss": 5.5461, + "mean_token_accuracy": 0.1822608396410942, + "num_tokens": 12918053.0, + "step": 5900 + }, + { + "entropy": 6.323455667495727, + "epoch": 6.302189001601708, + "grad_norm": 1.0546875, + "learning_rate": 0.00021453647503742824, + "loss": 5.5518, + "mean_token_accuracy": 0.1901797831058502, + "num_tokens": 12929231.0, + "step": 5905 + }, + { + "entropy": 6.28606595993042, + "epoch": 6.307528029898559, + "grad_norm": 1.234375, + "learning_rate": 0.0002141293705344393, + "loss": 5.5207, + "mean_token_accuracy": 0.1860789716243744, + "num_tokens": 12939765.0, + "step": 5910 + }, + { + "entropy": 6.356584215164185, + "epoch": 6.312867058195408, + "grad_norm": 1.1171875, + "learning_rate": 0.00021372248093068274, + "loss": 5.5381, + "mean_token_accuracy": 0.1795216053724289, + "num_tokens": 12949620.0, + "step": 5915 + }, + { + "entropy": 6.24603009223938, + "epoch": 6.318206086492259, + "grad_norm": 1.1875, + "learning_rate": 0.00021331580766265212, + "loss": 5.5549, + "mean_token_accuracy": 0.18385580331087112, + "num_tokens": 12960464.0, + "step": 5920 + }, + { + "entropy": 6.282250261306762, + "epoch": 6.323545114789108, + "grad_norm": 1.1484375, + "learning_rate": 0.00021290935216607726, + "loss": 5.5007, + "mean_token_accuracy": 0.18764480501413344, + "num_tokens": 12971156.0, + "step": 5925 + }, + { + "entropy": 6.335037517547607, + "epoch": 6.328884143085959, + "grad_norm": 1.1328125, + "learning_rate": 0.00021250311587591887, + "loss": 5.5386, + "mean_token_accuracy": 0.17930494695901872, + "num_tokens": 12981583.0, + "step": 5930 + }, + { + "entropy": 6.31908802986145, + "epoch": 6.334223171382808, + "grad_norm": 1.171875, + "learning_rate": 0.00021209710022636403, + "loss": 5.59, + "mean_token_accuracy": 0.18331025689840316, + "num_tokens": 12991937.0, + "step": 5935 + }, + { + "entropy": 6.311692571640014, + "epoch": 6.3395621996796585, + "grad_norm": 1.1171875, + "learning_rate": 0.0002116913066508208, + "loss": 5.5469, + "mean_token_accuracy": 0.18102213740348816, + "num_tokens": 13002570.0, + "step": 5940 + }, + { + "entropy": 6.344061946868896, + "epoch": 6.344901227976508, + "grad_norm": 1.203125, + "learning_rate": 0.00021128573658191335, + "loss": 5.5049, + "mean_token_accuracy": 0.1811664655804634, + "num_tokens": 13014096.0, + "step": 5945 + }, + { + "entropy": 6.368574094772339, + "epoch": 6.350240256273358, + "grad_norm": 1.2109375, + "learning_rate": 0.00021088039145147653, + "loss": 5.5944, + "mean_token_accuracy": 0.18091420978307723, + "num_tokens": 13023944.0, + "step": 5950 + }, + { + "entropy": 6.333920907974243, + "epoch": 6.355579284570208, + "grad_norm": 1.2109375, + "learning_rate": 0.00021047527269055138, + "loss": 5.6037, + "mean_token_accuracy": 0.18233564198017121, + "num_tokens": 13034943.0, + "step": 5955 + }, + { + "entropy": 6.265704250335693, + "epoch": 6.360918312867058, + "grad_norm": 1.0546875, + "learning_rate": 0.00021007038172937936, + "loss": 5.5439, + "mean_token_accuracy": 0.18883284628391267, + "num_tokens": 13046361.0, + "step": 5960 + }, + { + "entropy": 6.278402328491211, + "epoch": 6.366257341163908, + "grad_norm": 1.125, + "learning_rate": 0.00020966571999739798, + "loss": 5.5597, + "mean_token_accuracy": 0.17997330725193023, + "num_tokens": 13056795.0, + "step": 5965 + }, + { + "entropy": 6.26501317024231, + "epoch": 6.371596369460758, + "grad_norm": 1.1328125, + "learning_rate": 0.00020926128892323538, + "loss": 5.4512, + "mean_token_accuracy": 0.18857761174440385, + "num_tokens": 13066849.0, + "step": 5970 + }, + { + "entropy": 6.4005210399627686, + "epoch": 6.376935397757608, + "grad_norm": 1.0859375, + "learning_rate": 0.00020885708993470547, + "loss": 5.6603, + "mean_token_accuracy": 0.17295733839273453, + "num_tokens": 13079071.0, + "step": 5975 + }, + { + "entropy": 6.280942773818969, + "epoch": 6.382274426054458, + "grad_norm": 1.078125, + "learning_rate": 0.0002084531244588027, + "loss": 5.5652, + "mean_token_accuracy": 0.17425670325756074, + "num_tokens": 13089781.0, + "step": 5980 + }, + { + "entropy": 6.390124797821045, + "epoch": 6.387613454351308, + "grad_norm": 0.96484375, + "learning_rate": 0.00020804939392169713, + "loss": 5.6063, + "mean_token_accuracy": 0.177083620429039, + "num_tokens": 13100814.0, + "step": 5985 + }, + { + "entropy": 6.322206830978393, + "epoch": 6.392952482648158, + "grad_norm": 1.109375, + "learning_rate": 0.0002076458997487295, + "loss": 5.5611, + "mean_token_accuracy": 0.18351718485355378, + "num_tokens": 13112712.0, + "step": 5990 + }, + { + "entropy": 6.322111177444458, + "epoch": 6.398291510945008, + "grad_norm": 1.09375, + "learning_rate": 0.00020724264336440584, + "loss": 5.4872, + "mean_token_accuracy": 0.18441599905490874, + "num_tokens": 13123560.0, + "step": 5995 + }, + { + "entropy": 6.331759405136109, + "epoch": 6.403630539241858, + "grad_norm": 1.078125, + "learning_rate": 0.00020683962619239294, + "loss": 5.5804, + "mean_token_accuracy": 0.18275608122348785, + "num_tokens": 13135879.0, + "step": 6000 + }, + { + "epoch": 6.403630539241858, + "eval_entropy": 6.163486111628544, + "eval_loss": 6.554488182067871, + "eval_mean_token_accuracy": 0.13392661240967837, + "eval_num_tokens": 13135879.0, + "eval_runtime": 1.819, + "eval_samples_per_second": 1693.217, + "eval_steps_per_second": 211.652, + "step": 6000 + }, + { + "entropy": 6.352371311187744, + "epoch": 6.408969567538708, + "grad_norm": 1.2109375, + "learning_rate": 0.00020643684965551297, + "loss": 5.5199, + "mean_token_accuracy": 0.18580380380153655, + "num_tokens": 13146585.0, + "step": 6005 + }, + { + "entropy": 6.315131568908692, + "epoch": 6.414308595835558, + "grad_norm": 1.28125, + "learning_rate": 0.0002060343151757385, + "loss": 5.48, + "mean_token_accuracy": 0.18755016028881072, + "num_tokens": 13156715.0, + "step": 6010 + }, + { + "entropy": 6.337861347198486, + "epoch": 6.419647624132408, + "grad_norm": 1.0703125, + "learning_rate": 0.00020563202417418763, + "loss": 5.5752, + "mean_token_accuracy": 0.17808083295822144, + "num_tokens": 13168191.0, + "step": 6015 + }, + { + "entropy": 6.262475395202637, + "epoch": 6.424986652429258, + "grad_norm": 1.0859375, + "learning_rate": 0.00020522997807111888, + "loss": 5.4674, + "mean_token_accuracy": 0.19102598279714583, + "num_tokens": 13179056.0, + "step": 6020 + }, + { + "entropy": 6.319896697998047, + "epoch": 6.430325680726108, + "grad_norm": 0.9921875, + "learning_rate": 0.0002048281782859261, + "loss": 5.562, + "mean_token_accuracy": 0.17918537855148314, + "num_tokens": 13190090.0, + "step": 6025 + }, + { + "entropy": 6.333342885971069, + "epoch": 6.435664709022958, + "grad_norm": 1.2109375, + "learning_rate": 0.00020442662623713348, + "loss": 5.5598, + "mean_token_accuracy": 0.17563522905111312, + "num_tokens": 13199842.0, + "step": 6030 + }, + { + "entropy": 6.263208198547363, + "epoch": 6.441003737319808, + "grad_norm": 1.09375, + "learning_rate": 0.00020402532334239072, + "loss": 5.5451, + "mean_token_accuracy": 0.1844705805182457, + "num_tokens": 13210655.0, + "step": 6035 + }, + { + "entropy": 6.25391845703125, + "epoch": 6.446342765616658, + "grad_norm": 1.1796875, + "learning_rate": 0.00020362427101846785, + "loss": 5.5483, + "mean_token_accuracy": 0.18805767744779586, + "num_tokens": 13221458.0, + "step": 6040 + }, + { + "entropy": 6.374371194839478, + "epoch": 6.451681793913508, + "grad_norm": 1.1953125, + "learning_rate": 0.00020322347068125037, + "loss": 5.6416, + "mean_token_accuracy": 0.17785127460956573, + "num_tokens": 13231912.0, + "step": 6045 + }, + { + "entropy": 6.308995628356934, + "epoch": 6.457020822210358, + "grad_norm": 1.078125, + "learning_rate": 0.00020282292374573398, + "loss": 5.5069, + "mean_token_accuracy": 0.18875450044870376, + "num_tokens": 13243383.0, + "step": 6050 + }, + { + "entropy": 6.293632078170776, + "epoch": 6.462359850507208, + "grad_norm": 1.171875, + "learning_rate": 0.00020242263162601991, + "loss": 5.5653, + "mean_token_accuracy": 0.1814887836575508, + "num_tokens": 13254747.0, + "step": 6055 + }, + { + "entropy": 6.290720367431641, + "epoch": 6.4676988788040575, + "grad_norm": 1.125, + "learning_rate": 0.00020202259573530974, + "loss": 5.5654, + "mean_token_accuracy": 0.17937231659889222, + "num_tokens": 13265842.0, + "step": 6060 + }, + { + "entropy": 6.236067438125611, + "epoch": 6.473037907100908, + "grad_norm": 1.2578125, + "learning_rate": 0.00020162281748590039, + "loss": 5.4751, + "mean_token_accuracy": 0.1790890023112297, + "num_tokens": 13276760.0, + "step": 6065 + }, + { + "entropy": 6.308027267456055, + "epoch": 6.478376935397757, + "grad_norm": 1.0625, + "learning_rate": 0.0002012232982891793, + "loss": 5.5553, + "mean_token_accuracy": 0.18342843651771545, + "num_tokens": 13287687.0, + "step": 6070 + }, + { + "entropy": 6.282391691207886, + "epoch": 6.483715963694608, + "grad_norm": 1.1953125, + "learning_rate": 0.00020082403955561928, + "loss": 5.5932, + "mean_token_accuracy": 0.17987498492002488, + "num_tokens": 13298409.0, + "step": 6075 + }, + { + "entropy": 6.3039881706237795, + "epoch": 6.489054991991457, + "grad_norm": 1.1796875, + "learning_rate": 0.00020042504269477359, + "loss": 5.5223, + "mean_token_accuracy": 0.18251995444297792, + "num_tokens": 13309178.0, + "step": 6080 + }, + { + "entropy": 6.298363304138183, + "epoch": 6.494394020288308, + "grad_norm": 1.2265625, + "learning_rate": 0.000200026309115271, + "loss": 5.4803, + "mean_token_accuracy": 0.18861500024795533, + "num_tokens": 13319381.0, + "step": 6085 + }, + { + "entropy": 6.300890016555786, + "epoch": 6.499733048585157, + "grad_norm": 1.1796875, + "learning_rate": 0.00019962784022481083, + "loss": 5.5704, + "mean_token_accuracy": 0.18661998957395554, + "num_tokens": 13330409.0, + "step": 6090 + }, + { + "entropy": 6.348041963577271, + "epoch": 6.505072076882008, + "grad_norm": 1.15625, + "learning_rate": 0.00019922963743015782, + "loss": 5.6375, + "mean_token_accuracy": 0.17736010551452636, + "num_tokens": 13341988.0, + "step": 6095 + }, + { + "entropy": 6.337808609008789, + "epoch": 6.510411105178857, + "grad_norm": 1.0859375, + "learning_rate": 0.0001988317021371373, + "loss": 5.5486, + "mean_token_accuracy": 0.1819508343935013, + "num_tokens": 13353222.0, + "step": 6100 + }, + { + "entropy": 6.2926851272583, + "epoch": 6.5157501334757075, + "grad_norm": 1.3515625, + "learning_rate": 0.00019843403575063028, + "loss": 5.539, + "mean_token_accuracy": 0.1807304948568344, + "num_tokens": 13363740.0, + "step": 6105 + }, + { + "entropy": 6.307255268096924, + "epoch": 6.521089161772557, + "grad_norm": 1.2734375, + "learning_rate": 0.00019803663967456843, + "loss": 5.5545, + "mean_token_accuracy": 0.18084392547607422, + "num_tokens": 13373972.0, + "step": 6110 + }, + { + "entropy": 6.311766338348389, + "epoch": 6.526428190069407, + "grad_norm": 1.1640625, + "learning_rate": 0.00019763951531192897, + "loss": 5.5672, + "mean_token_accuracy": 0.18313288539648057, + "num_tokens": 13385031.0, + "step": 6115 + }, + { + "entropy": 6.350743532180786, + "epoch": 6.531767218366257, + "grad_norm": 1.2421875, + "learning_rate": 0.00019724266406473013, + "loss": 5.5698, + "mean_token_accuracy": 0.18248473405838012, + "num_tokens": 13396260.0, + "step": 6120 + }, + { + "entropy": 6.3166967868804935, + "epoch": 6.537106246663107, + "grad_norm": 1.0390625, + "learning_rate": 0.00019684608733402543, + "loss": 5.5822, + "mean_token_accuracy": 0.1851217567920685, + "num_tokens": 13408106.0, + "step": 6125 + }, + { + "entropy": 6.3371728420257565, + "epoch": 6.542445274959958, + "grad_norm": 1.0703125, + "learning_rate": 0.00019644978651989965, + "loss": 5.5886, + "mean_token_accuracy": 0.18292033523321152, + "num_tokens": 13419173.0, + "step": 6130 + }, + { + "entropy": 6.345329236984253, + "epoch": 6.547784303256807, + "grad_norm": 1.125, + "learning_rate": 0.00019605376302146344, + "loss": 5.6047, + "mean_token_accuracy": 0.17939743846654893, + "num_tokens": 13430421.0, + "step": 6135 + }, + { + "entropy": 6.275396823883057, + "epoch": 6.553123331553657, + "grad_norm": 1.1171875, + "learning_rate": 0.0001956580182368483, + "loss": 5.4882, + "mean_token_accuracy": 0.18517961949110032, + "num_tokens": 13441046.0, + "step": 6140 + }, + { + "entropy": 6.296225357055664, + "epoch": 6.558462359850507, + "grad_norm": 1.1171875, + "learning_rate": 0.0001952625535632017, + "loss": 5.5271, + "mean_token_accuracy": 0.18224766999483108, + "num_tokens": 13452660.0, + "step": 6145 + }, + { + "entropy": 6.246510744094849, + "epoch": 6.563801388147358, + "grad_norm": 1.1171875, + "learning_rate": 0.0001948673703966824, + "loss": 5.4253, + "mean_token_accuracy": 0.19840070307254792, + "num_tokens": 13464215.0, + "step": 6150 + }, + { + "entropy": 6.317129278182984, + "epoch": 6.569140416444207, + "grad_norm": 1.0625, + "learning_rate": 0.0001944724701324551, + "loss": 5.5587, + "mean_token_accuracy": 0.18184617757797242, + "num_tokens": 13475665.0, + "step": 6155 + }, + { + "entropy": 6.30324501991272, + "epoch": 6.5744794447410575, + "grad_norm": 1.21875, + "learning_rate": 0.0001940778541646858, + "loss": 5.5446, + "mean_token_accuracy": 0.17954391986131668, + "num_tokens": 13487411.0, + "step": 6160 + }, + { + "entropy": 6.300690221786499, + "epoch": 6.579818473037907, + "grad_norm": 1.1796875, + "learning_rate": 0.00019368352388653693, + "loss": 5.5232, + "mean_token_accuracy": 0.18714903742074968, + "num_tokens": 13498292.0, + "step": 6165 + }, + { + "entropy": 6.340859985351562, + "epoch": 6.585157501334757, + "grad_norm": 0.9765625, + "learning_rate": 0.00019328948069016218, + "loss": 5.5853, + "mean_token_accuracy": 0.1790682151913643, + "num_tokens": 13510046.0, + "step": 6170 + }, + { + "entropy": 6.349089908599853, + "epoch": 6.590496529631607, + "grad_norm": 1.2109375, + "learning_rate": 0.00019289572596670169, + "loss": 5.6411, + "mean_token_accuracy": 0.17593853771686555, + "num_tokens": 13521003.0, + "step": 6175 + }, + { + "entropy": 6.262182283401489, + "epoch": 6.595835557928457, + "grad_norm": 1.09375, + "learning_rate": 0.00019250226110627733, + "loss": 5.4865, + "mean_token_accuracy": 0.19835155308246613, + "num_tokens": 13531443.0, + "step": 6180 + }, + { + "entropy": 6.257317733764649, + "epoch": 6.601174586225307, + "grad_norm": 1.1015625, + "learning_rate": 0.0001921090874979876, + "loss": 5.5508, + "mean_token_accuracy": 0.17542205154895782, + "num_tokens": 13541783.0, + "step": 6185 + }, + { + "entropy": 6.2820525646209715, + "epoch": 6.606513614522157, + "grad_norm": 1.1328125, + "learning_rate": 0.00019171620652990256, + "loss": 5.5006, + "mean_token_accuracy": 0.17975751608610152, + "num_tokens": 13552002.0, + "step": 6190 + }, + { + "entropy": 6.316552591323853, + "epoch": 6.611852642819007, + "grad_norm": 1.265625, + "learning_rate": 0.0001913236195890593, + "loss": 5.5605, + "mean_token_accuracy": 0.1775813117623329, + "num_tokens": 13563151.0, + "step": 6195 + }, + { + "entropy": 6.219785404205322, + "epoch": 6.617191671115857, + "grad_norm": 1.171875, + "learning_rate": 0.0001909313280614569, + "loss": 5.4929, + "mean_token_accuracy": 0.18668177276849746, + "num_tokens": 13573542.0, + "step": 6200 + }, + { + "entropy": 6.309219741821289, + "epoch": 6.622530699412707, + "grad_norm": 1.1796875, + "learning_rate": 0.00019053933333205137, + "loss": 5.5385, + "mean_token_accuracy": 0.18093562871217728, + "num_tokens": 13584023.0, + "step": 6205 + }, + { + "entropy": 6.316692113876343, + "epoch": 6.627869727709557, + "grad_norm": 1.1328125, + "learning_rate": 0.00019014763678475095, + "loss": 5.5075, + "mean_token_accuracy": 0.18570243269205094, + "num_tokens": 13594781.0, + "step": 6210 + }, + { + "entropy": 6.279546594619751, + "epoch": 6.633208756006407, + "grad_norm": 1.046875, + "learning_rate": 0.00018975623980241124, + "loss": 5.5343, + "mean_token_accuracy": 0.1863781675696373, + "num_tokens": 13606328.0, + "step": 6215 + }, + { + "entropy": 6.327500057220459, + "epoch": 6.638547784303257, + "grad_norm": 1.21875, + "learning_rate": 0.0001893651437668303, + "loss": 5.51, + "mean_token_accuracy": 0.18514935821294784, + "num_tokens": 13617209.0, + "step": 6220 + }, + { + "entropy": 6.309375858306884, + "epoch": 6.6438868126001065, + "grad_norm": 0.9921875, + "learning_rate": 0.00018897435005874331, + "loss": 5.5394, + "mean_token_accuracy": 0.1805016040802002, + "num_tokens": 13629314.0, + "step": 6225 + }, + { + "entropy": 6.312755393981933, + "epoch": 6.649225840896957, + "grad_norm": 1.203125, + "learning_rate": 0.00018858386005781864, + "loss": 5.5908, + "mean_token_accuracy": 0.17755433320999145, + "num_tokens": 13640552.0, + "step": 6230 + }, + { + "entropy": 6.303439903259277, + "epoch": 6.654564869193806, + "grad_norm": 1.328125, + "learning_rate": 0.00018819367514265206, + "loss": 5.5633, + "mean_token_accuracy": 0.18204109072685243, + "num_tokens": 13650273.0, + "step": 6235 + }, + { + "entropy": 6.30832314491272, + "epoch": 6.659903897490657, + "grad_norm": 1.21875, + "learning_rate": 0.00018780379669076257, + "loss": 5.5438, + "mean_token_accuracy": 0.1898371934890747, + "num_tokens": 13660251.0, + "step": 6240 + }, + { + "entropy": 6.269473314285278, + "epoch": 6.665242925787506, + "grad_norm": 1.109375, + "learning_rate": 0.00018741422607858693, + "loss": 5.4726, + "mean_token_accuracy": 0.19135648012161255, + "num_tokens": 13671225.0, + "step": 6245 + }, + { + "entropy": 6.254298162460327, + "epoch": 6.670581954084357, + "grad_norm": 1.0859375, + "learning_rate": 0.00018702496468147534, + "loss": 5.5521, + "mean_token_accuracy": 0.18298991322517394, + "num_tokens": 13682236.0, + "step": 6250 + }, + { + "entropy": 6.279804039001465, + "epoch": 6.675920982381206, + "grad_norm": 1.1796875, + "learning_rate": 0.00018663601387368612, + "loss": 5.5568, + "mean_token_accuracy": 0.18257627189159392, + "num_tokens": 13693510.0, + "step": 6255 + }, + { + "entropy": 6.36996750831604, + "epoch": 6.681260010678057, + "grad_norm": 1.03125, + "learning_rate": 0.00018624737502838124, + "loss": 5.6694, + "mean_token_accuracy": 0.1762879952788353, + "num_tokens": 13706057.0, + "step": 6260 + }, + { + "entropy": 6.348255586624146, + "epoch": 6.686599038974906, + "grad_norm": 1.0859375, + "learning_rate": 0.00018585904951762123, + "loss": 5.5999, + "mean_token_accuracy": 0.1818082019686699, + "num_tokens": 13716674.0, + "step": 6265 + }, + { + "entropy": 6.308555364608765, + "epoch": 6.6919380672717566, + "grad_norm": 1.0546875, + "learning_rate": 0.00018547103871236048, + "loss": 5.4897, + "mean_token_accuracy": 0.18605282455682753, + "num_tokens": 13727745.0, + "step": 6270 + }, + { + "entropy": 6.2941718101501465, + "epoch": 6.697277095568607, + "grad_norm": 1.140625, + "learning_rate": 0.00018508334398244225, + "loss": 5.6056, + "mean_token_accuracy": 0.1769578352570534, + "num_tokens": 13738970.0, + "step": 6275 + }, + { + "entropy": 6.330140542984009, + "epoch": 6.7026161238654565, + "grad_norm": 1.1328125, + "learning_rate": 0.00018469596669659394, + "loss": 5.6379, + "mean_token_accuracy": 0.17538753598928453, + "num_tokens": 13750281.0, + "step": 6280 + }, + { + "entropy": 6.391390037536621, + "epoch": 6.707955152162306, + "grad_norm": 1.2265625, + "learning_rate": 0.00018430890822242242, + "loss": 5.5846, + "mean_token_accuracy": 0.18001397252082824, + "num_tokens": 13760757.0, + "step": 6285 + }, + { + "entropy": 6.290466976165772, + "epoch": 6.713294180459156, + "grad_norm": 1.15625, + "learning_rate": 0.00018392216992640866, + "loss": 5.5536, + "mean_token_accuracy": 0.18084823042154313, + "num_tokens": 13771639.0, + "step": 6290 + }, + { + "entropy": 6.289993000030518, + "epoch": 6.718633208756007, + "grad_norm": 1.1015625, + "learning_rate": 0.00018353575317390353, + "loss": 5.5329, + "mean_token_accuracy": 0.18451715558767318, + "num_tokens": 13782387.0, + "step": 6295 + }, + { + "entropy": 6.327233743667603, + "epoch": 6.723972237052856, + "grad_norm": 1.1015625, + "learning_rate": 0.00018314965932912265, + "loss": 5.5154, + "mean_token_accuracy": 0.1848110541701317, + "num_tokens": 13792693.0, + "step": 6300 + }, + { + "entropy": 6.3418426513671875, + "epoch": 6.729311265349707, + "grad_norm": 1.03125, + "learning_rate": 0.0001827638897551417, + "loss": 5.6132, + "mean_token_accuracy": 0.17475601583719252, + "num_tokens": 13804553.0, + "step": 6305 + }, + { + "entropy": 6.335278129577636, + "epoch": 6.734650293646556, + "grad_norm": 1.265625, + "learning_rate": 0.00018237844581389147, + "loss": 5.5658, + "mean_token_accuracy": 0.18327444195747375, + "num_tokens": 13814339.0, + "step": 6310 + }, + { + "entropy": 6.298328924179077, + "epoch": 6.739989321943407, + "grad_norm": 1.15625, + "learning_rate": 0.00018199332886615312, + "loss": 5.6229, + "mean_token_accuracy": 0.17313117086887359, + "num_tokens": 13824960.0, + "step": 6315 + }, + { + "entropy": 6.320883655548096, + "epoch": 6.745328350240256, + "grad_norm": 1.125, + "learning_rate": 0.0001816085402715533, + "loss": 5.6079, + "mean_token_accuracy": 0.1743606612086296, + "num_tokens": 13835296.0, + "step": 6320 + }, + { + "entropy": 6.229419183731079, + "epoch": 6.7506673785371065, + "grad_norm": 1.140625, + "learning_rate": 0.00018122408138855972, + "loss": 5.4237, + "mean_token_accuracy": 0.19275894314050673, + "num_tokens": 13845932.0, + "step": 6325 + }, + { + "entropy": 6.319077062606811, + "epoch": 6.756006406833956, + "grad_norm": 1.296875, + "learning_rate": 0.0001808399535744757, + "loss": 5.5593, + "mean_token_accuracy": 0.18214440643787383, + "num_tokens": 13857095.0, + "step": 6330 + }, + { + "entropy": 6.334871053695679, + "epoch": 6.761345435130806, + "grad_norm": 1.1875, + "learning_rate": 0.00018045615818543614, + "loss": 5.6098, + "mean_token_accuracy": 0.1771411955356598, + "num_tokens": 13867882.0, + "step": 6335 + }, + { + "entropy": 6.273644542694091, + "epoch": 6.766684463427656, + "grad_norm": 1.1171875, + "learning_rate": 0.0001800726965764019, + "loss": 5.4851, + "mean_token_accuracy": 0.1845867559313774, + "num_tokens": 13878208.0, + "step": 6340 + }, + { + "entropy": 6.261086702346802, + "epoch": 6.772023491724506, + "grad_norm": 1.109375, + "learning_rate": 0.000179689570101156, + "loss": 5.4102, + "mean_token_accuracy": 0.19955071955919265, + "num_tokens": 13889075.0, + "step": 6345 + }, + { + "entropy": 6.311852312088012, + "epoch": 6.777362520021356, + "grad_norm": 0.99609375, + "learning_rate": 0.00017930678011229774, + "loss": 5.6657, + "mean_token_accuracy": 0.17336114048957824, + "num_tokens": 13900305.0, + "step": 6350 + }, + { + "entropy": 6.275598430633545, + "epoch": 6.782701548318206, + "grad_norm": 1.1875, + "learning_rate": 0.00017892432796123874, + "loss": 5.5312, + "mean_token_accuracy": 0.17904499024152756, + "num_tokens": 13912407.0, + "step": 6355 + }, + { + "entropy": 6.317451429367066, + "epoch": 6.788040576615056, + "grad_norm": 1.1875, + "learning_rate": 0.00017854221499819783, + "loss": 5.5542, + "mean_token_accuracy": 0.1790584310889244, + "num_tokens": 13923777.0, + "step": 6360 + }, + { + "entropy": 6.29730372428894, + "epoch": 6.793379604911906, + "grad_norm": 1.1015625, + "learning_rate": 0.0001781604425721966, + "loss": 5.5268, + "mean_token_accuracy": 0.18457200676202773, + "num_tokens": 13934634.0, + "step": 6365 + }, + { + "entropy": 6.306339073181152, + "epoch": 6.798718633208756, + "grad_norm": 1.1484375, + "learning_rate": 0.0001777790120310541, + "loss": 5.5668, + "mean_token_accuracy": 0.1794625535607338, + "num_tokens": 13945092.0, + "step": 6370 + }, + { + "entropy": 6.3330113887786865, + "epoch": 6.804057661505606, + "grad_norm": 1.1640625, + "learning_rate": 0.00017739792472138248, + "loss": 5.6036, + "mean_token_accuracy": 0.1796196311712265, + "num_tokens": 13955834.0, + "step": 6375 + }, + { + "entropy": 6.360069131851196, + "epoch": 6.809396689802456, + "grad_norm": 1.15625, + "learning_rate": 0.00017701718198858248, + "loss": 5.6001, + "mean_token_accuracy": 0.1716108053922653, + "num_tokens": 13966749.0, + "step": 6380 + }, + { + "entropy": 6.284036350250244, + "epoch": 6.814735718099306, + "grad_norm": 1.1875, + "learning_rate": 0.0001766367851768375, + "loss": 5.5121, + "mean_token_accuracy": 0.18103928864002228, + "num_tokens": 13977387.0, + "step": 6385 + }, + { + "entropy": 6.332955169677734, + "epoch": 6.8200747463961555, + "grad_norm": 1.234375, + "learning_rate": 0.00017625673562911054, + "loss": 5.6054, + "mean_token_accuracy": 0.180105060338974, + "num_tokens": 13987949.0, + "step": 6390 + }, + { + "entropy": 6.319362831115723, + "epoch": 6.825413774693006, + "grad_norm": 1.21875, + "learning_rate": 0.00017587703468713807, + "loss": 5.5248, + "mean_token_accuracy": 0.1792665407061577, + "num_tokens": 13998723.0, + "step": 6395 + }, + { + "entropy": 6.3338072299957275, + "epoch": 6.830752802989856, + "grad_norm": 1.125, + "learning_rate": 0.00017549768369142633, + "loss": 5.5418, + "mean_token_accuracy": 0.18090006113052368, + "num_tokens": 14009760.0, + "step": 6400 + }, + { + "entropy": 6.336702346801758, + "epoch": 6.836091831286706, + "grad_norm": 1.2578125, + "learning_rate": 0.00017511868398124546, + "loss": 5.5971, + "mean_token_accuracy": 0.18475197553634642, + "num_tokens": 14020122.0, + "step": 6405 + }, + { + "entropy": 6.296493196487427, + "epoch": 6.841430859583555, + "grad_norm": 1.0390625, + "learning_rate": 0.0001747400368946261, + "loss": 5.6277, + "mean_token_accuracy": 0.1744499459862709, + "num_tokens": 14031708.0, + "step": 6410 + }, + { + "entropy": 6.37297477722168, + "epoch": 6.846769887880406, + "grad_norm": 1.1015625, + "learning_rate": 0.00017436174376835349, + "loss": 5.6148, + "mean_token_accuracy": 0.17940505146980285, + "num_tokens": 14042468.0, + "step": 6415 + }, + { + "entropy": 6.285836553573608, + "epoch": 6.852108916177256, + "grad_norm": 1.2109375, + "learning_rate": 0.00017398380593796326, + "loss": 5.5011, + "mean_token_accuracy": 0.18315577358007432, + "num_tokens": 14053254.0, + "step": 6420 + }, + { + "entropy": 6.311503219604492, + "epoch": 6.857447944474106, + "grad_norm": 1.1796875, + "learning_rate": 0.00017360622473773705, + "loss": 5.5002, + "mean_token_accuracy": 0.18174608796834946, + "num_tokens": 14064732.0, + "step": 6425 + }, + { + "entropy": 6.2944371700286865, + "epoch": 6.862786972770956, + "grad_norm": 1.0859375, + "learning_rate": 0.00017322900150069703, + "loss": 5.5576, + "mean_token_accuracy": 0.1816406726837158, + "num_tokens": 14075269.0, + "step": 6430 + }, + { + "entropy": 6.295346355438232, + "epoch": 6.868126001067806, + "grad_norm": 1.1640625, + "learning_rate": 0.000172852137558602, + "loss": 5.5373, + "mean_token_accuracy": 0.18191902190446854, + "num_tokens": 14085402.0, + "step": 6435 + }, + { + "entropy": 6.378720998764038, + "epoch": 6.873465029364656, + "grad_norm": 1.0234375, + "learning_rate": 0.00017247563424194188, + "loss": 5.5936, + "mean_token_accuracy": 0.1773359015583992, + "num_tokens": 14097183.0, + "step": 6440 + }, + { + "entropy": 6.349096584320068, + "epoch": 6.8788040576615055, + "grad_norm": 1.09375, + "learning_rate": 0.00017209949287993394, + "loss": 5.536, + "mean_token_accuracy": 0.18651263564825057, + "num_tokens": 14107870.0, + "step": 6445 + }, + { + "entropy": 6.345979166030884, + "epoch": 6.884143085958356, + "grad_norm": 1.1484375, + "learning_rate": 0.00017172371480051688, + "loss": 5.5955, + "mean_token_accuracy": 0.18064535558223724, + "num_tokens": 14118859.0, + "step": 6450 + }, + { + "entropy": 6.2495989322662355, + "epoch": 6.889482114255205, + "grad_norm": 1.0703125, + "learning_rate": 0.0001713483013303476, + "loss": 5.5555, + "mean_token_accuracy": 0.18182558417320252, + "num_tokens": 14130006.0, + "step": 6455 + }, + { + "entropy": 6.318955755233764, + "epoch": 6.894821142552056, + "grad_norm": 1.0703125, + "learning_rate": 0.00017097325379479528, + "loss": 5.6223, + "mean_token_accuracy": 0.1748135954141617, + "num_tokens": 14141376.0, + "step": 6460 + }, + { + "entropy": 6.259933233261108, + "epoch": 6.900160170848905, + "grad_norm": 1.0625, + "learning_rate": 0.0001705985735179375, + "loss": 5.4424, + "mean_token_accuracy": 0.1841606691479683, + "num_tokens": 14151825.0, + "step": 6465 + }, + { + "entropy": 6.3122239112854, + "epoch": 6.905499199145756, + "grad_norm": 1.1640625, + "learning_rate": 0.00017022426182255497, + "loss": 5.6051, + "mean_token_accuracy": 0.18254586160182953, + "num_tokens": 14162509.0, + "step": 6470 + }, + { + "entropy": 6.370364761352539, + "epoch": 6.910838227442605, + "grad_norm": 1.1171875, + "learning_rate": 0.00016985032003012738, + "loss": 5.6154, + "mean_token_accuracy": 0.17966496497392653, + "num_tokens": 14173591.0, + "step": 6475 + }, + { + "entropy": 6.283137416839599, + "epoch": 6.916177255739456, + "grad_norm": 1.015625, + "learning_rate": 0.00016947674946082863, + "loss": 5.5156, + "mean_token_accuracy": 0.18040162324905396, + "num_tokens": 14185562.0, + "step": 6480 + }, + { + "entropy": 6.273719644546508, + "epoch": 6.921516284036305, + "grad_norm": 1.171875, + "learning_rate": 0.00016910355143352147, + "loss": 5.4709, + "mean_token_accuracy": 0.18578019887208938, + "num_tokens": 14196231.0, + "step": 6485 + }, + { + "entropy": 6.2712445735931395, + "epoch": 6.9268553123331555, + "grad_norm": 1.1015625, + "learning_rate": 0.00016873072726575407, + "loss": 5.4758, + "mean_token_accuracy": 0.1880102276802063, + "num_tokens": 14209085.0, + "step": 6490 + }, + { + "entropy": 6.3388467788696286, + "epoch": 6.932194340630005, + "grad_norm": 1.1015625, + "learning_rate": 0.00016835827827375426, + "loss": 5.5858, + "mean_token_accuracy": 0.17689670920372008, + "num_tokens": 14219805.0, + "step": 6495 + }, + { + "entropy": 6.313488912582398, + "epoch": 6.9375333689268555, + "grad_norm": 1.2109375, + "learning_rate": 0.00016798620577242567, + "loss": 5.476, + "mean_token_accuracy": 0.19206169694662095, + "num_tokens": 14230505.0, + "step": 6500 + }, + { + "epoch": 6.9375333689268555, + "eval_entropy": 6.111162968425008, + "eval_loss": 6.5421881675720215, + "eval_mean_token_accuracy": 0.13504700539754583, + "eval_num_tokens": 14230505.0, + "eval_runtime": 1.8124, + "eval_samples_per_second": 1699.416, + "eval_steps_per_second": 212.427, + "step": 6500 + }, + { + "entropy": 6.271717882156372, + "epoch": 6.942872397223705, + "grad_norm": 1.125, + "learning_rate": 0.00016761451107534249, + "loss": 5.5262, + "mean_token_accuracy": 0.19075504094362258, + "num_tokens": 14241584.0, + "step": 6505 + }, + { + "entropy": 6.278272104263306, + "epoch": 6.948211425520555, + "grad_norm": 1.1640625, + "learning_rate": 0.00016724319549474534, + "loss": 5.5543, + "mean_token_accuracy": 0.19189462959766387, + "num_tokens": 14252571.0, + "step": 6510 + }, + { + "entropy": 6.322755002975464, + "epoch": 6.953550453817405, + "grad_norm": 1.1796875, + "learning_rate": 0.00016687226034153624, + "loss": 5.6389, + "mean_token_accuracy": 0.17759112566709517, + "num_tokens": 14263470.0, + "step": 6515 + }, + { + "entropy": 6.299075269699097, + "epoch": 6.958889482114255, + "grad_norm": 1.1640625, + "learning_rate": 0.00016650170692527407, + "loss": 5.5459, + "mean_token_accuracy": 0.1799885153770447, + "num_tokens": 14274241.0, + "step": 6520 + }, + { + "entropy": 6.338451814651489, + "epoch": 6.964228510411105, + "grad_norm": 1.234375, + "learning_rate": 0.0001661315365541702, + "loss": 5.5802, + "mean_token_accuracy": 0.1735849931836128, + "num_tokens": 14284542.0, + "step": 6525 + }, + { + "entropy": 6.280116224288941, + "epoch": 6.969567538707955, + "grad_norm": 1.09375, + "learning_rate": 0.00016576175053508357, + "loss": 5.5888, + "mean_token_accuracy": 0.1822688788175583, + "num_tokens": 14295504.0, + "step": 6530 + }, + { + "entropy": 6.25789065361023, + "epoch": 6.974906567004805, + "grad_norm": 1.1796875, + "learning_rate": 0.00016539235017351634, + "loss": 5.571, + "mean_token_accuracy": 0.18007161021232604, + "num_tokens": 14306575.0, + "step": 6535 + }, + { + "entropy": 6.347195148468018, + "epoch": 6.980245595301655, + "grad_norm": 1.3125, + "learning_rate": 0.00016502333677360887, + "loss": 5.5981, + "mean_token_accuracy": 0.17393214553594588, + "num_tokens": 14316677.0, + "step": 6540 + }, + { + "entropy": 6.3871876239776615, + "epoch": 6.9855846235985055, + "grad_norm": 1.1640625, + "learning_rate": 0.00016465471163813576, + "loss": 5.5593, + "mean_token_accuracy": 0.18010709881782533, + "num_tokens": 14327027.0, + "step": 6545 + }, + { + "entropy": 6.316414451599121, + "epoch": 6.990923651895355, + "grad_norm": 1.0390625, + "learning_rate": 0.00016428647606850033, + "loss": 5.5865, + "mean_token_accuracy": 0.18866724222898484, + "num_tokens": 14338771.0, + "step": 6550 + }, + { + "entropy": 6.340197610855102, + "epoch": 6.9962626801922045, + "grad_norm": 1.25, + "learning_rate": 0.00016391863136473118, + "loss": 5.5756, + "mean_token_accuracy": 0.17773306369781494, + "num_tokens": 14350028.0, + "step": 6555 + }, + { + "entropy": 6.26469612121582, + "epoch": 7.00106780565937, + "grad_norm": 1.0703125, + "learning_rate": 0.0001635511788254765, + "loss": 5.5193, + "mean_token_accuracy": 0.18587267564402687, + "num_tokens": 14359688.0, + "step": 6560 + }, + { + "entropy": 6.269435834884644, + "epoch": 7.00640683395622, + "grad_norm": 1.21875, + "learning_rate": 0.00016318411974800025, + "loss": 5.4091, + "mean_token_accuracy": 0.18694305717945098, + "num_tokens": 14369892.0, + "step": 6565 + }, + { + "entropy": 6.2558362007141115, + "epoch": 7.01174586225307, + "grad_norm": 1.078125, + "learning_rate": 0.00016281745542817716, + "loss": 5.3584, + "mean_token_accuracy": 0.192064106464386, + "num_tokens": 14381383.0, + "step": 6570 + }, + { + "entropy": 6.297444868087768, + "epoch": 7.01708489054992, + "grad_norm": 1.1640625, + "learning_rate": 0.0001624511871604884, + "loss": 5.4562, + "mean_token_accuracy": 0.192567777633667, + "num_tokens": 14391590.0, + "step": 6575 + }, + { + "entropy": 6.312979078292846, + "epoch": 7.02242391884677, + "grad_norm": 1.1640625, + "learning_rate": 0.00016208531623801702, + "loss": 5.3939, + "mean_token_accuracy": 0.1895030602812767, + "num_tokens": 14402345.0, + "step": 6580 + }, + { + "entropy": 6.3703536033630375, + "epoch": 7.02776294714362, + "grad_norm": 1.2421875, + "learning_rate": 0.00016171984395244276, + "loss": 5.4881, + "mean_token_accuracy": 0.18503127098083497, + "num_tokens": 14412769.0, + "step": 6585 + }, + { + "entropy": 6.305860710144043, + "epoch": 7.03310197544047, + "grad_norm": 1.21875, + "learning_rate": 0.00016135477159403866, + "loss": 5.4148, + "mean_token_accuracy": 0.2001012980937958, + "num_tokens": 14424509.0, + "step": 6590 + }, + { + "entropy": 6.392051410675049, + "epoch": 7.0384410037373195, + "grad_norm": 1.1015625, + "learning_rate": 0.00016099010045166537, + "loss": 5.5376, + "mean_token_accuracy": 0.18047535121440889, + "num_tokens": 14435189.0, + "step": 6595 + }, + { + "entropy": 6.353335762023926, + "epoch": 7.04378003203417, + "grad_norm": 1.140625, + "learning_rate": 0.0001606258318127674, + "loss": 5.5095, + "mean_token_accuracy": 0.1861751824617386, + "num_tokens": 14445676.0, + "step": 6600 + }, + { + "entropy": 6.348418712615967, + "epoch": 7.049119060331019, + "grad_norm": 1.25, + "learning_rate": 0.00016026196696336786, + "loss": 5.4904, + "mean_token_accuracy": 0.1838784009218216, + "num_tokens": 14456848.0, + "step": 6605 + }, + { + "entropy": 6.287606906890869, + "epoch": 7.05445808862787, + "grad_norm": 1.0390625, + "learning_rate": 0.00015989850718806483, + "loss": 5.4332, + "mean_token_accuracy": 0.18585668951272966, + "num_tokens": 14468939.0, + "step": 6610 + }, + { + "entropy": 6.322085952758789, + "epoch": 7.059797116924719, + "grad_norm": 1.265625, + "learning_rate": 0.00015953545377002593, + "loss": 5.5085, + "mean_token_accuracy": 0.18388541787862778, + "num_tokens": 14480341.0, + "step": 6615 + }, + { + "entropy": 6.3109293460845945, + "epoch": 7.06513614522157, + "grad_norm": 1.078125, + "learning_rate": 0.00015917280799098414, + "loss": 5.4129, + "mean_token_accuracy": 0.19869672060012816, + "num_tokens": 14491517.0, + "step": 6620 + }, + { + "entropy": 6.279620122909546, + "epoch": 7.070475173518419, + "grad_norm": 1.0546875, + "learning_rate": 0.0001588105711312336, + "loss": 5.4366, + "mean_token_accuracy": 0.18694413006305693, + "num_tokens": 14504351.0, + "step": 6625 + }, + { + "entropy": 6.318189525604248, + "epoch": 7.07581420181527, + "grad_norm": 1.0625, + "learning_rate": 0.00015844874446962448, + "loss": 5.5338, + "mean_token_accuracy": 0.18216532617807388, + "num_tokens": 14516431.0, + "step": 6630 + }, + { + "entropy": 6.295264530181885, + "epoch": 7.081153230112119, + "grad_norm": 1.09375, + "learning_rate": 0.000158087329283559, + "loss": 5.3816, + "mean_token_accuracy": 0.19511567950248718, + "num_tokens": 14527248.0, + "step": 6635 + }, + { + "entropy": 6.3042511463165285, + "epoch": 7.08649225840897, + "grad_norm": 1.25, + "learning_rate": 0.00015772632684898653, + "loss": 5.4665, + "mean_token_accuracy": 0.18800214529037476, + "num_tokens": 14538380.0, + "step": 6640 + }, + { + "entropy": 6.314582014083863, + "epoch": 7.09183128670582, + "grad_norm": 1.171875, + "learning_rate": 0.00015736573844039953, + "loss": 5.4482, + "mean_token_accuracy": 0.18293119072914124, + "num_tokens": 14549710.0, + "step": 6645 + }, + { + "entropy": 6.282787704467774, + "epoch": 7.0971703150026695, + "grad_norm": 1.171875, + "learning_rate": 0.00015700556533082826, + "loss": 5.4284, + "mean_token_accuracy": 0.1919356808066368, + "num_tokens": 14560623.0, + "step": 6650 + }, + { + "entropy": 6.293274068832398, + "epoch": 7.10250934329952, + "grad_norm": 1.140625, + "learning_rate": 0.00015664580879183737, + "loss": 5.5054, + "mean_token_accuracy": 0.1837783768773079, + "num_tokens": 14570816.0, + "step": 6655 + }, + { + "entropy": 6.316432905197144, + "epoch": 7.107848371596369, + "grad_norm": 1.1953125, + "learning_rate": 0.00015628647009352037, + "loss": 5.4329, + "mean_token_accuracy": 0.18765368163585663, + "num_tokens": 14582014.0, + "step": 6660 + }, + { + "entropy": 6.275792598724365, + "epoch": 7.11318739989322, + "grad_norm": 1.234375, + "learning_rate": 0.00015592755050449603, + "loss": 5.3662, + "mean_token_accuracy": 0.19992139488458632, + "num_tokens": 14592100.0, + "step": 6665 + }, + { + "entropy": 6.173001956939697, + "epoch": 7.118526428190069, + "grad_norm": 1.0859375, + "learning_rate": 0.00015556905129190309, + "loss": 5.3337, + "mean_token_accuracy": 0.20151432305574418, + "num_tokens": 14603894.0, + "step": 6670 + }, + { + "entropy": 6.229399871826172, + "epoch": 7.12386545648692, + "grad_norm": 1.0703125, + "learning_rate": 0.00015521097372139654, + "loss": 5.3648, + "mean_token_accuracy": 0.19738561660051346, + "num_tokens": 14614697.0, + "step": 6675 + }, + { + "entropy": 6.316095399856567, + "epoch": 7.129204484783769, + "grad_norm": 1.25, + "learning_rate": 0.00015485331905714257, + "loss": 5.3925, + "mean_token_accuracy": 0.19631152153015136, + "num_tokens": 14624302.0, + "step": 6680 + }, + { + "entropy": 6.291509103775025, + "epoch": 7.13454351308062, + "grad_norm": 1.28125, + "learning_rate": 0.00015449608856181422, + "loss": 5.4087, + "mean_token_accuracy": 0.19371372908353807, + "num_tokens": 14635081.0, + "step": 6685 + }, + { + "entropy": 6.264547395706177, + "epoch": 7.139882541377469, + "grad_norm": 1.125, + "learning_rate": 0.00015413928349658745, + "loss": 5.3872, + "mean_token_accuracy": 0.2043850302696228, + "num_tokens": 14645817.0, + "step": 6690 + }, + { + "entropy": 6.287539434432984, + "epoch": 7.1452215696743195, + "grad_norm": 1.203125, + "learning_rate": 0.0001537829051211358, + "loss": 5.4525, + "mean_token_accuracy": 0.1920837566256523, + "num_tokens": 14656442.0, + "step": 6695 + }, + { + "entropy": 6.278778505325318, + "epoch": 7.150560597971169, + "grad_norm": 1.1796875, + "learning_rate": 0.00015342695469362682, + "loss": 5.3925, + "mean_token_accuracy": 0.19858739972114564, + "num_tokens": 14666974.0, + "step": 6700 + }, + { + "entropy": 6.348932266235352, + "epoch": 7.1558996262680195, + "grad_norm": 1.1015625, + "learning_rate": 0.00015307143347071688, + "loss": 5.5826, + "mean_token_accuracy": 0.18329962342977524, + "num_tokens": 14677952.0, + "step": 6705 + }, + { + "entropy": 6.270998954772949, + "epoch": 7.161238654564869, + "grad_norm": 1.2265625, + "learning_rate": 0.0001527163427075474, + "loss": 5.4297, + "mean_token_accuracy": 0.19348912090063095, + "num_tokens": 14688858.0, + "step": 6710 + }, + { + "entropy": 6.274411296844482, + "epoch": 7.166577682861719, + "grad_norm": 1.1640625, + "learning_rate": 0.00015236168365773985, + "loss": 5.4505, + "mean_token_accuracy": 0.18570196628570557, + "num_tokens": 14699992.0, + "step": 6715 + }, + { + "entropy": 6.332328271865845, + "epoch": 7.171916711158569, + "grad_norm": 1.2734375, + "learning_rate": 0.00015200745757339149, + "loss": 5.4072, + "mean_token_accuracy": 0.19031400680541993, + "num_tokens": 14710720.0, + "step": 6720 + }, + { + "entropy": 6.32621431350708, + "epoch": 7.177255739455419, + "grad_norm": 1.2109375, + "learning_rate": 0.00015165366570507138, + "loss": 5.4728, + "mean_token_accuracy": 0.18544712662696838, + "num_tokens": 14721101.0, + "step": 6725 + }, + { + "entropy": 6.3247661113739015, + "epoch": 7.182594767752269, + "grad_norm": 1.203125, + "learning_rate": 0.00015130030930181527, + "loss": 5.4501, + "mean_token_accuracy": 0.19216947257518768, + "num_tokens": 14731428.0, + "step": 6730 + }, + { + "entropy": 6.322046327590942, + "epoch": 7.187933796049119, + "grad_norm": 1.09375, + "learning_rate": 0.0001509473896111218, + "loss": 5.4599, + "mean_token_accuracy": 0.18756082206964492, + "num_tokens": 14743419.0, + "step": 6735 + }, + { + "entropy": 6.281675624847412, + "epoch": 7.193272824345969, + "grad_norm": 1.0390625, + "learning_rate": 0.00015059490787894768, + "loss": 5.4847, + "mean_token_accuracy": 0.18561287969350815, + "num_tokens": 14756162.0, + "step": 6740 + }, + { + "entropy": 6.386045646667481, + "epoch": 7.198611852642819, + "grad_norm": 1.25, + "learning_rate": 0.0001502428653497034, + "loss": 5.5361, + "mean_token_accuracy": 0.18351231813430785, + "num_tokens": 14767264.0, + "step": 6745 + }, + { + "entropy": 6.404717302322387, + "epoch": 7.203950880939669, + "grad_norm": 1.375, + "learning_rate": 0.0001498912632662489, + "loss": 5.4631, + "mean_token_accuracy": 0.18551670759916306, + "num_tokens": 14778344.0, + "step": 6750 + }, + { + "entropy": 6.340229177474976, + "epoch": 7.209289909236519, + "grad_norm": 1.15625, + "learning_rate": 0.00014954010286988935, + "loss": 5.5307, + "mean_token_accuracy": 0.18180549144744873, + "num_tokens": 14790518.0, + "step": 6755 + }, + { + "entropy": 6.292685031890869, + "epoch": 7.2146289375333685, + "grad_norm": 1.3359375, + "learning_rate": 0.00014918938540037018, + "loss": 5.4807, + "mean_token_accuracy": 0.18915681540966034, + "num_tokens": 14801792.0, + "step": 6760 + }, + { + "entropy": 6.231640481948853, + "epoch": 7.219967965830219, + "grad_norm": 1.328125, + "learning_rate": 0.00014883911209587366, + "loss": 5.366, + "mean_token_accuracy": 0.20036828219890596, + "num_tokens": 14812259.0, + "step": 6765 + }, + { + "entropy": 6.258896732330323, + "epoch": 7.2253069941270684, + "grad_norm": 1.0859375, + "learning_rate": 0.0001484892841930134, + "loss": 5.4381, + "mean_token_accuracy": 0.19050138741731643, + "num_tokens": 14823858.0, + "step": 6770 + }, + { + "entropy": 6.2924394607543945, + "epoch": 7.230646022423919, + "grad_norm": 1.2265625, + "learning_rate": 0.000148139902926831, + "loss": 5.4068, + "mean_token_accuracy": 0.19775196760892869, + "num_tokens": 14834069.0, + "step": 6775 + }, + { + "entropy": 6.317218446731568, + "epoch": 7.235985050720769, + "grad_norm": 1.1953125, + "learning_rate": 0.00014779096953079096, + "loss": 5.4495, + "mean_token_accuracy": 0.19177347272634507, + "num_tokens": 14844998.0, + "step": 6780 + }, + { + "entropy": 6.294413757324219, + "epoch": 7.241324079017619, + "grad_norm": 1.078125, + "learning_rate": 0.00014744248523677658, + "loss": 5.5113, + "mean_token_accuracy": 0.18353998363018037, + "num_tokens": 14855997.0, + "step": 6785 + }, + { + "entropy": 6.298984670639038, + "epoch": 7.246663107314469, + "grad_norm": 1.2578125, + "learning_rate": 0.00014709445127508594, + "loss": 5.4684, + "mean_token_accuracy": 0.1885671928524971, + "num_tokens": 14866813.0, + "step": 6790 + }, + { + "entropy": 6.257570743560791, + "epoch": 7.252002135611319, + "grad_norm": 1.1875, + "learning_rate": 0.00014674686887442695, + "loss": 5.4425, + "mean_token_accuracy": 0.18660287111997603, + "num_tokens": 14877681.0, + "step": 6795 + }, + { + "entropy": 6.268080139160157, + "epoch": 7.257341163908169, + "grad_norm": 1.3515625, + "learning_rate": 0.00014639973926191353, + "loss": 5.5047, + "mean_token_accuracy": 0.18286219090223313, + "num_tokens": 14888896.0, + "step": 6800 + }, + { + "entropy": 6.3286150932312015, + "epoch": 7.262680192205019, + "grad_norm": 1.21875, + "learning_rate": 0.00014605306366306093, + "loss": 5.4721, + "mean_token_accuracy": 0.18981748819351196, + "num_tokens": 14899230.0, + "step": 6805 + }, + { + "entropy": 6.259786605834961, + "epoch": 7.268019220501869, + "grad_norm": 1.1796875, + "learning_rate": 0.00014570684330178152, + "loss": 5.4336, + "mean_token_accuracy": 0.1927536189556122, + "num_tokens": 14910726.0, + "step": 6810 + }, + { + "entropy": 6.311066293716431, + "epoch": 7.2733582487987185, + "grad_norm": 1.125, + "learning_rate": 0.00014536107940038063, + "loss": 5.4831, + "mean_token_accuracy": 0.18997626900672912, + "num_tokens": 14922464.0, + "step": 6815 + }, + { + "entropy": 6.3254467964172365, + "epoch": 7.278697277095569, + "grad_norm": 1.078125, + "learning_rate": 0.00014501577317955195, + "loss": 5.5114, + "mean_token_accuracy": 0.18482305705547333, + "num_tokens": 14932719.0, + "step": 6820 + }, + { + "entropy": 6.237675046920776, + "epoch": 7.284036305392418, + "grad_norm": 1.1640625, + "learning_rate": 0.00014467092585837348, + "loss": 5.3684, + "mean_token_accuracy": 0.1937697485089302, + "num_tokens": 14943497.0, + "step": 6825 + }, + { + "entropy": 6.2961009502410885, + "epoch": 7.289375333689269, + "grad_norm": 1.2734375, + "learning_rate": 0.000144326538654303, + "loss": 5.4553, + "mean_token_accuracy": 0.19217261373996736, + "num_tokens": 14953887.0, + "step": 6830 + }, + { + "entropy": 6.266338968276978, + "epoch": 7.294714361986118, + "grad_norm": 1.2734375, + "learning_rate": 0.00014398261278317405, + "loss": 5.4194, + "mean_token_accuracy": 0.1873815566301346, + "num_tokens": 14965193.0, + "step": 6835 + }, + { + "entropy": 6.252061939239502, + "epoch": 7.300053390282969, + "grad_norm": 1.1640625, + "learning_rate": 0.00014363914945919126, + "loss": 5.4351, + "mean_token_accuracy": 0.19088050872087478, + "num_tokens": 14976266.0, + "step": 6840 + }, + { + "entropy": 6.311152935028076, + "epoch": 7.305392418579818, + "grad_norm": 1.25, + "learning_rate": 0.0001432961498949263, + "loss": 5.4244, + "mean_token_accuracy": 0.19315261840820314, + "num_tokens": 14987993.0, + "step": 6845 + }, + { + "entropy": 6.3497191905975345, + "epoch": 7.310731446876669, + "grad_norm": 1.125, + "learning_rate": 0.0001429536153013137, + "loss": 5.4808, + "mean_token_accuracy": 0.18216035068035125, + "num_tokens": 14998445.0, + "step": 6850 + }, + { + "entropy": 6.271890926361084, + "epoch": 7.316070475173518, + "grad_norm": 1.3203125, + "learning_rate": 0.00014261154688764645, + "loss": 5.4611, + "mean_token_accuracy": 0.188706374168396, + "num_tokens": 15008788.0, + "step": 6855 + }, + { + "entropy": 6.2674929141998295, + "epoch": 7.321409503470369, + "grad_norm": 1.1484375, + "learning_rate": 0.00014226994586157148, + "loss": 5.4978, + "mean_token_accuracy": 0.184069262444973, + "num_tokens": 15020167.0, + "step": 6860 + }, + { + "entropy": 6.334926986694336, + "epoch": 7.326748531767218, + "grad_norm": 1.21875, + "learning_rate": 0.00014192881342908604, + "loss": 5.4803, + "mean_token_accuracy": 0.18917828649282456, + "num_tokens": 15031082.0, + "step": 6865 + }, + { + "entropy": 6.286368560791016, + "epoch": 7.3320875600640685, + "grad_norm": 1.0859375, + "learning_rate": 0.00014158815079453268, + "loss": 5.4412, + "mean_token_accuracy": 0.19314158707857132, + "num_tokens": 15041728.0, + "step": 6870 + }, + { + "entropy": 6.300330734252929, + "epoch": 7.337426588360918, + "grad_norm": 1.125, + "learning_rate": 0.00014124795916059548, + "loss": 5.4293, + "mean_token_accuracy": 0.19236666411161424, + "num_tokens": 15052131.0, + "step": 6875 + }, + { + "entropy": 6.248535871505737, + "epoch": 7.342765616657768, + "grad_norm": 1.34375, + "learning_rate": 0.00014090823972829586, + "loss": 5.3861, + "mean_token_accuracy": 0.19000423103570938, + "num_tokens": 15063377.0, + "step": 6880 + }, + { + "entropy": 6.272410345077515, + "epoch": 7.348104644954618, + "grad_norm": 1.125, + "learning_rate": 0.00014056899369698785, + "loss": 5.387, + "mean_token_accuracy": 0.19852375388145446, + "num_tokens": 15073808.0, + "step": 6885 + }, + { + "entropy": 6.3073197364807125, + "epoch": 7.353443673251468, + "grad_norm": 1.2265625, + "learning_rate": 0.0001402302222643545, + "loss": 5.4592, + "mean_token_accuracy": 0.1940150499343872, + "num_tokens": 15084409.0, + "step": 6890 + }, + { + "entropy": 6.310897445678711, + "epoch": 7.358782701548318, + "grad_norm": 1.359375, + "learning_rate": 0.00013989192662640306, + "loss": 5.4773, + "mean_token_accuracy": 0.18742646425962448, + "num_tokens": 15094861.0, + "step": 6895 + }, + { + "entropy": 6.303181982040405, + "epoch": 7.364121729845168, + "grad_norm": 1.125, + "learning_rate": 0.0001395541079774612, + "loss": 5.4783, + "mean_token_accuracy": 0.18808880746364592, + "num_tokens": 15104939.0, + "step": 6900 + }, + { + "entropy": 6.226565361022949, + "epoch": 7.369460758142019, + "grad_norm": 1.140625, + "learning_rate": 0.00013921676751017255, + "loss": 5.365, + "mean_token_accuracy": 0.19940806925296783, + "num_tokens": 15115243.0, + "step": 6905 + }, + { + "entropy": 6.267017602920532, + "epoch": 7.374799786438868, + "grad_norm": 1.171875, + "learning_rate": 0.00013887990641549245, + "loss": 5.4636, + "mean_token_accuracy": 0.18399228155612946, + "num_tokens": 15127363.0, + "step": 6910 + }, + { + "entropy": 6.279464530944824, + "epoch": 7.380138814735718, + "grad_norm": 1.2109375, + "learning_rate": 0.00013854352588268408, + "loss": 5.3497, + "mean_token_accuracy": 0.19327647387981414, + "num_tokens": 15138128.0, + "step": 6915 + }, + { + "entropy": 6.303591060638428, + "epoch": 7.385477843032568, + "grad_norm": 1.2265625, + "learning_rate": 0.0001382076270993138, + "loss": 5.5058, + "mean_token_accuracy": 0.1778939798474312, + "num_tokens": 15148911.0, + "step": 6920 + }, + { + "entropy": 6.257078218460083, + "epoch": 7.3908168713294184, + "grad_norm": 1.140625, + "learning_rate": 0.0001378722112512474, + "loss": 5.4458, + "mean_token_accuracy": 0.18303258419036866, + "num_tokens": 15159564.0, + "step": 6925 + }, + { + "entropy": 6.266393041610717, + "epoch": 7.396155899626268, + "grad_norm": 1.1875, + "learning_rate": 0.0001375372795226455, + "loss": 5.4699, + "mean_token_accuracy": 0.1912732571363449, + "num_tokens": 15170536.0, + "step": 6930 + }, + { + "entropy": 6.302108573913574, + "epoch": 7.401494927923118, + "grad_norm": 1.21875, + "learning_rate": 0.00013720283309595987, + "loss": 5.463, + "mean_token_accuracy": 0.19185779988765717, + "num_tokens": 15181242.0, + "step": 6935 + }, + { + "entropy": 6.343116331100464, + "epoch": 7.406833956219968, + "grad_norm": 1.1171875, + "learning_rate": 0.00013686887315192842, + "loss": 5.4834, + "mean_token_accuracy": 0.18818345814943313, + "num_tokens": 15192873.0, + "step": 6940 + }, + { + "entropy": 6.30702543258667, + "epoch": 7.412172984516818, + "grad_norm": 1.1328125, + "learning_rate": 0.00013653540086957218, + "loss": 5.4501, + "mean_token_accuracy": 0.19412994533777236, + "num_tokens": 15204059.0, + "step": 6945 + }, + { + "entropy": 6.3180159568786625, + "epoch": 7.417512012813668, + "grad_norm": 1.1328125, + "learning_rate": 0.0001362024174261901, + "loss": 5.5063, + "mean_token_accuracy": 0.18488460928201675, + "num_tokens": 15214435.0, + "step": 6950 + }, + { + "entropy": 6.308865594863891, + "epoch": 7.422851041110518, + "grad_norm": 1.1484375, + "learning_rate": 0.0001358699239973556, + "loss": 5.4797, + "mean_token_accuracy": 0.1889624461531639, + "num_tokens": 15225514.0, + "step": 6955 + }, + { + "entropy": 6.288485956192017, + "epoch": 7.428190069407368, + "grad_norm": 1.2421875, + "learning_rate": 0.0001355379217569119, + "loss": 5.373, + "mean_token_accuracy": 0.19830633103847503, + "num_tokens": 15236329.0, + "step": 6960 + }, + { + "entropy": 6.25889835357666, + "epoch": 7.433529097704218, + "grad_norm": 1.265625, + "learning_rate": 0.00013520641187696834, + "loss": 5.3872, + "mean_token_accuracy": 0.19201608002185822, + "num_tokens": 15246239.0, + "step": 6965 + }, + { + "entropy": 6.273760986328125, + "epoch": 7.438868126001068, + "grad_norm": 1.109375, + "learning_rate": 0.00013487539552789585, + "loss": 5.4801, + "mean_token_accuracy": 0.19855868369340895, + "num_tokens": 15258107.0, + "step": 6970 + }, + { + "entropy": 6.29157280921936, + "epoch": 7.444207154297918, + "grad_norm": 1.1796875, + "learning_rate": 0.00013454487387832298, + "loss": 5.4118, + "mean_token_accuracy": 0.18662227392196656, + "num_tokens": 15269494.0, + "step": 6975 + }, + { + "entropy": 6.361139106750488, + "epoch": 7.4495461825947675, + "grad_norm": 1.25, + "learning_rate": 0.00013421484809513195, + "loss": 5.5343, + "mean_token_accuracy": 0.17982688099145888, + "num_tokens": 15280847.0, + "step": 6980 + }, + { + "entropy": 6.348047399520874, + "epoch": 7.454885210891618, + "grad_norm": 1.4140625, + "learning_rate": 0.00013388531934345417, + "loss": 5.4806, + "mean_token_accuracy": 0.18755375295877458, + "num_tokens": 15291602.0, + "step": 6985 + }, + { + "entropy": 6.304960441589356, + "epoch": 7.460224239188467, + "grad_norm": 1.203125, + "learning_rate": 0.00013355628878666654, + "loss": 5.4256, + "mean_token_accuracy": 0.1935595080256462, + "num_tokens": 15302346.0, + "step": 6990 + }, + { + "entropy": 6.280840587615967, + "epoch": 7.465563267485318, + "grad_norm": 1.2265625, + "learning_rate": 0.00013322775758638675, + "loss": 5.4369, + "mean_token_accuracy": 0.19602899849414826, + "num_tokens": 15313721.0, + "step": 6995 + }, + { + "entropy": 6.242779636383057, + "epoch": 7.470902295782167, + "grad_norm": 1.25, + "learning_rate": 0.0001328997269024701, + "loss": 5.4481, + "mean_token_accuracy": 0.1883457660675049, + "num_tokens": 15325088.0, + "step": 7000 + }, + { + "epoch": 7.470902295782167, + "eval_entropy": 6.113379762079808, + "eval_loss": 6.547084331512451, + "eval_mean_token_accuracy": 0.13488195277266687, + "eval_num_tokens": 15325088.0, + "eval_runtime": 1.8116, + "eval_samples_per_second": 1700.127, + "eval_steps_per_second": 212.516, + "step": 7000 + }, + { + "entropy": 6.287962102890015, + "epoch": 7.476241324079018, + "grad_norm": 1.1640625, + "learning_rate": 0.00013257219789300417, + "loss": 5.48, + "mean_token_accuracy": 0.19072551280260086, + "num_tokens": 15335527.0, + "step": 7005 + }, + { + "entropy": 6.238534307479858, + "epoch": 7.481580352375867, + "grad_norm": 1.1640625, + "learning_rate": 0.000132245171714306, + "loss": 5.3978, + "mean_token_accuracy": 0.19542142897844314, + "num_tokens": 15347574.0, + "step": 7010 + }, + { + "entropy": 6.273657131195068, + "epoch": 7.486919380672718, + "grad_norm": 1.1953125, + "learning_rate": 0.00013191864952091727, + "loss": 5.4766, + "mean_token_accuracy": 0.1871364861726761, + "num_tokens": 15358778.0, + "step": 7015 + }, + { + "entropy": 6.32083649635315, + "epoch": 7.492258408969567, + "grad_norm": 1.203125, + "learning_rate": 0.00013159263246560008, + "loss": 5.5285, + "mean_token_accuracy": 0.18418796807527543, + "num_tokens": 15369696.0, + "step": 7020 + }, + { + "entropy": 6.350054740905762, + "epoch": 7.497597437266418, + "grad_norm": 1.2109375, + "learning_rate": 0.00013126712169933362, + "loss": 5.4787, + "mean_token_accuracy": 0.19281676262617112, + "num_tokens": 15380848.0, + "step": 7025 + }, + { + "entropy": 6.338539266586304, + "epoch": 7.502936465563267, + "grad_norm": 1.2890625, + "learning_rate": 0.0001309421183713093, + "loss": 5.489, + "mean_token_accuracy": 0.18487109690904618, + "num_tokens": 15390866.0, + "step": 7030 + }, + { + "entropy": 6.299791240692139, + "epoch": 7.5082754938601175, + "grad_norm": 1.125, + "learning_rate": 0.00013061762362892742, + "loss": 5.5355, + "mean_token_accuracy": 0.18896956443786622, + "num_tokens": 15402827.0, + "step": 7035 + }, + { + "entropy": 6.263814258575439, + "epoch": 7.513614522156967, + "grad_norm": 1.171875, + "learning_rate": 0.00013029363861779224, + "loss": 5.3697, + "mean_token_accuracy": 0.19655501693487168, + "num_tokens": 15413590.0, + "step": 7040 + }, + { + "entropy": 6.30505633354187, + "epoch": 7.518953550453817, + "grad_norm": 1.2265625, + "learning_rate": 0.00012997016448170907, + "loss": 5.5179, + "mean_token_accuracy": 0.1944273218512535, + "num_tokens": 15424626.0, + "step": 7045 + }, + { + "entropy": 6.302839183807373, + "epoch": 7.524292578750668, + "grad_norm": 1.1796875, + "learning_rate": 0.000129647202362679, + "loss": 5.5083, + "mean_token_accuracy": 0.18509242087602615, + "num_tokens": 15435369.0, + "step": 7050 + }, + { + "entropy": 6.266674900054932, + "epoch": 7.529631607047517, + "grad_norm": 1.171875, + "learning_rate": 0.00012932475340089606, + "loss": 5.3647, + "mean_token_accuracy": 0.1904921844601631, + "num_tokens": 15446093.0, + "step": 7055 + }, + { + "entropy": 6.313183116912842, + "epoch": 7.534970635344367, + "grad_norm": 1.1015625, + "learning_rate": 0.00012900281873474214, + "loss": 5.3895, + "mean_token_accuracy": 0.19382342249155043, + "num_tokens": 15458535.0, + "step": 7060 + }, + { + "entropy": 6.348286533355713, + "epoch": 7.540309663641217, + "grad_norm": 1.1875, + "learning_rate": 0.00012868139950078376, + "loss": 5.4868, + "mean_token_accuracy": 0.1908288910984993, + "num_tokens": 15469288.0, + "step": 7065 + }, + { + "entropy": 6.249121379852295, + "epoch": 7.545648691938068, + "grad_norm": 1.171875, + "learning_rate": 0.0001283604968337676, + "loss": 5.4569, + "mean_token_accuracy": 0.18953004479408264, + "num_tokens": 15479643.0, + "step": 7070 + }, + { + "entropy": 6.264892864227295, + "epoch": 7.550987720234917, + "grad_norm": 1.0703125, + "learning_rate": 0.00012804011186661664, + "loss": 5.4565, + "mean_token_accuracy": 0.18462781757116317, + "num_tokens": 15491012.0, + "step": 7075 + }, + { + "entropy": 6.2518665313720705, + "epoch": 7.556326748531768, + "grad_norm": 1.1328125, + "learning_rate": 0.00012772024573042625, + "loss": 5.4577, + "mean_token_accuracy": 0.1880313828587532, + "num_tokens": 15501621.0, + "step": 7080 + }, + { + "entropy": 6.325869989395142, + "epoch": 7.561665776828617, + "grad_norm": 1.0859375, + "learning_rate": 0.00012740089955445993, + "loss": 5.4366, + "mean_token_accuracy": 0.19207198768854142, + "num_tokens": 15512463.0, + "step": 7085 + }, + { + "entropy": 6.317035770416259, + "epoch": 7.5670048051254675, + "grad_norm": 1.21875, + "learning_rate": 0.00012708207446614577, + "loss": 5.417, + "mean_token_accuracy": 0.19555209428071976, + "num_tokens": 15522141.0, + "step": 7090 + }, + { + "entropy": 6.288141679763794, + "epoch": 7.572343833422317, + "grad_norm": 1.265625, + "learning_rate": 0.00012676377159107194, + "loss": 5.5003, + "mean_token_accuracy": 0.18633041232824327, + "num_tokens": 15532332.0, + "step": 7095 + }, + { + "entropy": 6.313205575942993, + "epoch": 7.577682861719167, + "grad_norm": 1.171875, + "learning_rate": 0.00012644599205298323, + "loss": 5.5188, + "mean_token_accuracy": 0.19106141477823257, + "num_tokens": 15542157.0, + "step": 7100 + }, + { + "entropy": 6.186431550979615, + "epoch": 7.583021890016017, + "grad_norm": 1.140625, + "learning_rate": 0.00012612873697377645, + "loss": 5.3858, + "mean_token_accuracy": 0.19531311988830566, + "num_tokens": 15554015.0, + "step": 7105 + }, + { + "entropy": 6.259077882766723, + "epoch": 7.588360918312867, + "grad_norm": 1.2109375, + "learning_rate": 0.00012581200747349713, + "loss": 5.4177, + "mean_token_accuracy": 0.19319947063922882, + "num_tokens": 15565134.0, + "step": 7110 + }, + { + "entropy": 6.28724513053894, + "epoch": 7.593699946609717, + "grad_norm": 1.1640625, + "learning_rate": 0.0001254958046703354, + "loss": 5.4835, + "mean_token_accuracy": 0.18521590232849122, + "num_tokens": 15575570.0, + "step": 7115 + }, + { + "entropy": 6.304519891738892, + "epoch": 7.599038974906567, + "grad_norm": 1.3203125, + "learning_rate": 0.0001251801296806215, + "loss": 5.452, + "mean_token_accuracy": 0.1922187700867653, + "num_tokens": 15586350.0, + "step": 7120 + }, + { + "entropy": 6.311883592605591, + "epoch": 7.604378003203417, + "grad_norm": 1.1328125, + "learning_rate": 0.00012486498361882276, + "loss": 5.4631, + "mean_token_accuracy": 0.1864357113838196, + "num_tokens": 15597064.0, + "step": 7125 + }, + { + "entropy": 6.283797788619995, + "epoch": 7.609717031500267, + "grad_norm": 1.078125, + "learning_rate": 0.00012455036759753872, + "loss": 5.4201, + "mean_token_accuracy": 0.19565890729427338, + "num_tokens": 15608424.0, + "step": 7130 + }, + { + "entropy": 6.309296417236328, + "epoch": 7.615056059797117, + "grad_norm": 1.15625, + "learning_rate": 0.0001242362827274981, + "loss": 5.4694, + "mean_token_accuracy": 0.18753717243671417, + "num_tokens": 15619193.0, + "step": 7135 + }, + { + "entropy": 6.307245063781738, + "epoch": 7.620395088093967, + "grad_norm": 1.1328125, + "learning_rate": 0.00012392273011755387, + "loss": 5.4772, + "mean_token_accuracy": 0.18487688452005385, + "num_tokens": 15630391.0, + "step": 7140 + }, + { + "entropy": 6.3016722202301025, + "epoch": 7.6257341163908166, + "grad_norm": 1.21875, + "learning_rate": 0.00012360971087468044, + "loss": 5.4741, + "mean_token_accuracy": 0.18722636699676515, + "num_tokens": 15641098.0, + "step": 7145 + }, + { + "entropy": 6.349103164672852, + "epoch": 7.631073144687667, + "grad_norm": 1.1875, + "learning_rate": 0.00012329722610396885, + "loss": 5.5289, + "mean_token_accuracy": 0.17972193509340287, + "num_tokens": 15652677.0, + "step": 7150 + }, + { + "entropy": 6.281785202026367, + "epoch": 7.6364121729845165, + "grad_norm": 1.328125, + "learning_rate": 0.00012298527690862346, + "loss": 5.3607, + "mean_token_accuracy": 0.20771307796239852, + "num_tokens": 15664161.0, + "step": 7155 + }, + { + "entropy": 6.28417181968689, + "epoch": 7.641751201281367, + "grad_norm": 1.25, + "learning_rate": 0.00012267386438995762, + "loss": 5.4356, + "mean_token_accuracy": 0.1937227040529251, + "num_tokens": 15674663.0, + "step": 7160 + }, + { + "entropy": 6.308889245986938, + "epoch": 7.647090229578216, + "grad_norm": 1.2734375, + "learning_rate": 0.00012236298964739018, + "loss": 5.4676, + "mean_token_accuracy": 0.18741294145584106, + "num_tokens": 15684798.0, + "step": 7165 + }, + { + "entropy": 6.325117874145508, + "epoch": 7.652429257875067, + "grad_norm": 1.2890625, + "learning_rate": 0.00012205265377844127, + "loss": 5.5007, + "mean_token_accuracy": 0.1891069769859314, + "num_tokens": 15694796.0, + "step": 7170 + }, + { + "entropy": 6.306446743011475, + "epoch": 7.657768286171917, + "grad_norm": 1.203125, + "learning_rate": 0.0001217428578787285, + "loss": 5.5164, + "mean_token_accuracy": 0.1903630942106247, + "num_tokens": 15705325.0, + "step": 7175 + }, + { + "entropy": 6.331416177749634, + "epoch": 7.663107314468767, + "grad_norm": 1.2421875, + "learning_rate": 0.00012143360304196345, + "loss": 5.4456, + "mean_token_accuracy": 0.19512286633253098, + "num_tokens": 15716106.0, + "step": 7180 + }, + { + "entropy": 6.254957675933838, + "epoch": 7.668446342765616, + "grad_norm": 1.3203125, + "learning_rate": 0.00012112489035994715, + "loss": 5.4089, + "mean_token_accuracy": 0.1882454499602318, + "num_tokens": 15726896.0, + "step": 7185 + }, + { + "entropy": 6.280194568634033, + "epoch": 7.673785371062467, + "grad_norm": 1.15625, + "learning_rate": 0.00012081672092256693, + "loss": 5.4604, + "mean_token_accuracy": 0.1862812101840973, + "num_tokens": 15737492.0, + "step": 7190 + }, + { + "entropy": 6.3121009349823, + "epoch": 7.679124399359317, + "grad_norm": 1.171875, + "learning_rate": 0.00012050909581779194, + "loss": 5.4492, + "mean_token_accuracy": 0.18987040221691132, + "num_tokens": 15748941.0, + "step": 7195 + }, + { + "entropy": 6.290960836410522, + "epoch": 7.6844634276561665, + "grad_norm": 1.0625, + "learning_rate": 0.00012020201613166996, + "loss": 5.4389, + "mean_token_accuracy": 0.1893820658326149, + "num_tokens": 15760364.0, + "step": 7200 + }, + { + "entropy": 6.273015642166138, + "epoch": 7.689802455953017, + "grad_norm": 1.203125, + "learning_rate": 0.0001198954829483227, + "loss": 5.4886, + "mean_token_accuracy": 0.19192273169755936, + "num_tokens": 15770827.0, + "step": 7205 + }, + { + "entropy": 6.291214561462402, + "epoch": 7.695141484249866, + "grad_norm": 1.2265625, + "learning_rate": 0.00011958949734994294, + "loss": 5.4105, + "mean_token_accuracy": 0.19716935455799103, + "num_tokens": 15781685.0, + "step": 7210 + }, + { + "entropy": 6.3456682682037355, + "epoch": 7.700480512546717, + "grad_norm": 1.078125, + "learning_rate": 0.00011928406041679016, + "loss": 5.5194, + "mean_token_accuracy": 0.18710066080093385, + "num_tokens": 15793467.0, + "step": 7215 + }, + { + "entropy": 6.278537702560425, + "epoch": 7.705819540843566, + "grad_norm": 1.1640625, + "learning_rate": 0.00011897917322718658, + "loss": 5.4711, + "mean_token_accuracy": 0.18923619240522385, + "num_tokens": 15804030.0, + "step": 7220 + }, + { + "entropy": 6.326219749450684, + "epoch": 7.711158569140417, + "grad_norm": 1.171875, + "learning_rate": 0.00011867483685751393, + "loss": 5.4758, + "mean_token_accuracy": 0.19105219542980195, + "num_tokens": 15815834.0, + "step": 7225 + }, + { + "entropy": 6.304016733169556, + "epoch": 7.716497597437266, + "grad_norm": 1.0625, + "learning_rate": 0.00011837105238220905, + "loss": 5.4935, + "mean_token_accuracy": 0.18709275275468826, + "num_tokens": 15828605.0, + "step": 7230 + }, + { + "entropy": 6.295789098739624, + "epoch": 7.721836625734117, + "grad_norm": 1.25, + "learning_rate": 0.00011806782087376044, + "loss": 5.4023, + "mean_token_accuracy": 0.1915412038564682, + "num_tokens": 15838820.0, + "step": 7235 + }, + { + "entropy": 6.2806047916412355, + "epoch": 7.727175654030966, + "grad_norm": 1.21875, + "learning_rate": 0.00011776514340270435, + "loss": 5.471, + "mean_token_accuracy": 0.19484994560480118, + "num_tokens": 15850425.0, + "step": 7240 + }, + { + "entropy": 6.332225275039673, + "epoch": 7.732514682327817, + "grad_norm": 1.234375, + "learning_rate": 0.0001174630210376212, + "loss": 5.5353, + "mean_token_accuracy": 0.18361962884664534, + "num_tokens": 15861175.0, + "step": 7245 + }, + { + "entropy": 6.294142627716065, + "epoch": 7.737853710624666, + "grad_norm": 1.265625, + "learning_rate": 0.00011716145484513142, + "loss": 5.4624, + "mean_token_accuracy": 0.18699735403060913, + "num_tokens": 15871425.0, + "step": 7250 + }, + { + "entropy": 6.280290603637695, + "epoch": 7.7431927389215165, + "grad_norm": 1.3046875, + "learning_rate": 0.00011686044588989222, + "loss": 5.3874, + "mean_token_accuracy": 0.20123666226863862, + "num_tokens": 15881984.0, + "step": 7255 + }, + { + "entropy": 6.221923875808716, + "epoch": 7.748531767218366, + "grad_norm": 1.1015625, + "learning_rate": 0.00011655999523459311, + "loss": 5.4414, + "mean_token_accuracy": 0.1885385051369667, + "num_tokens": 15891940.0, + "step": 7260 + }, + { + "entropy": 6.3203362941741945, + "epoch": 7.753870795515216, + "grad_norm": 1.1953125, + "learning_rate": 0.00011626010393995301, + "loss": 5.5108, + "mean_token_accuracy": 0.1837375894188881, + "num_tokens": 15902899.0, + "step": 7265 + }, + { + "entropy": 6.2765544891357425, + "epoch": 7.759209823812066, + "grad_norm": 1.2578125, + "learning_rate": 0.00011596077306471577, + "loss": 5.4318, + "mean_token_accuracy": 0.193292735517025, + "num_tokens": 15913022.0, + "step": 7270 + }, + { + "entropy": 6.257391500473022, + "epoch": 7.764548852108916, + "grad_norm": 1.15625, + "learning_rate": 0.00011566200366564665, + "loss": 5.4287, + "mean_token_accuracy": 0.19449929893016815, + "num_tokens": 15924046.0, + "step": 7275 + }, + { + "entropy": 6.305574607849121, + "epoch": 7.769887880405766, + "grad_norm": 1.0390625, + "learning_rate": 0.00011536379679752901, + "loss": 5.5019, + "mean_token_accuracy": 0.18431514203548433, + "num_tokens": 15935993.0, + "step": 7280 + }, + { + "entropy": 6.27879376411438, + "epoch": 7.775226908702616, + "grad_norm": 1.234375, + "learning_rate": 0.00011506615351315989, + "loss": 5.52, + "mean_token_accuracy": 0.18554560840129852, + "num_tokens": 15946183.0, + "step": 7285 + }, + { + "entropy": 6.297955513000488, + "epoch": 7.780565936999466, + "grad_norm": 1.203125, + "learning_rate": 0.00011476907486334688, + "loss": 5.4348, + "mean_token_accuracy": 0.18957224488258362, + "num_tokens": 15956010.0, + "step": 7290 + }, + { + "entropy": 6.317027902603149, + "epoch": 7.785904965296316, + "grad_norm": 1.1796875, + "learning_rate": 0.00011447256189690404, + "loss": 5.4409, + "mean_token_accuracy": 0.1914788231253624, + "num_tokens": 15966747.0, + "step": 7295 + }, + { + "entropy": 6.245621633529663, + "epoch": 7.791243993593166, + "grad_norm": 1.21875, + "learning_rate": 0.00011417661566064834, + "loss": 5.4596, + "mean_token_accuracy": 0.1893852472305298, + "num_tokens": 15976551.0, + "step": 7300 + }, + { + "entropy": 6.285864305496216, + "epoch": 7.796583021890016, + "grad_norm": 1.2890625, + "learning_rate": 0.00011388123719939586, + "loss": 5.4493, + "mean_token_accuracy": 0.1863636240363121, + "num_tokens": 15987074.0, + "step": 7305 + }, + { + "entropy": 6.305343341827393, + "epoch": 7.801922050186866, + "grad_norm": 1.328125, + "learning_rate": 0.00011358642755595853, + "loss": 5.4769, + "mean_token_accuracy": 0.1860616162419319, + "num_tokens": 15997180.0, + "step": 7310 + }, + { + "entropy": 6.33305025100708, + "epoch": 7.807261078483716, + "grad_norm": 1.109375, + "learning_rate": 0.00011329218777113965, + "loss": 5.4329, + "mean_token_accuracy": 0.1920934110879898, + "num_tokens": 16008653.0, + "step": 7315 + }, + { + "entropy": 6.348929166793823, + "epoch": 7.812600106780566, + "grad_norm": 1.21875, + "learning_rate": 0.00011299851888373102, + "loss": 5.5976, + "mean_token_accuracy": 0.18123090267181396, + "num_tokens": 16020561.0, + "step": 7320 + }, + { + "entropy": 6.2745198726654055, + "epoch": 7.817939135077416, + "grad_norm": 1.21875, + "learning_rate": 0.00011270542193050888, + "loss": 5.4626, + "mean_token_accuracy": 0.19890002608299256, + "num_tokens": 16031456.0, + "step": 7325 + }, + { + "entropy": 6.341566324234009, + "epoch": 7.823278163374265, + "grad_norm": 1.1640625, + "learning_rate": 0.00011241289794623018, + "loss": 5.5555, + "mean_token_accuracy": 0.1821800947189331, + "num_tokens": 16042757.0, + "step": 7330 + }, + { + "entropy": 6.235800075531006, + "epoch": 7.828617191671116, + "grad_norm": 1.234375, + "learning_rate": 0.00011212094796362907, + "loss": 5.3304, + "mean_token_accuracy": 0.19140418320894242, + "num_tokens": 16053022.0, + "step": 7335 + }, + { + "entropy": 6.276721525192261, + "epoch": 7.833956219967966, + "grad_norm": 1.2109375, + "learning_rate": 0.00011182957301341321, + "loss": 5.4054, + "mean_token_accuracy": 0.18919897228479385, + "num_tokens": 16063959.0, + "step": 7340 + }, + { + "entropy": 6.3329778671264645, + "epoch": 7.839295248264816, + "grad_norm": 1.2265625, + "learning_rate": 0.00011153877412426034, + "loss": 5.4952, + "mean_token_accuracy": 0.18930234760046005, + "num_tokens": 16074402.0, + "step": 7345 + }, + { + "entropy": 6.211783933639526, + "epoch": 7.844634276561666, + "grad_norm": 1.234375, + "learning_rate": 0.0001112485523228142, + "loss": 5.371, + "mean_token_accuracy": 0.1979040816426277, + "num_tokens": 16085596.0, + "step": 7350 + }, + { + "entropy": 6.2267842292785645, + "epoch": 7.849973304858516, + "grad_norm": 1.3203125, + "learning_rate": 0.0001109589086336814, + "loss": 5.44, + "mean_token_accuracy": 0.19745024889707566, + "num_tokens": 16095625.0, + "step": 7355 + }, + { + "entropy": 6.285884141921997, + "epoch": 7.855312333155366, + "grad_norm": 1.2734375, + "learning_rate": 0.00011066984407942737, + "loss": 5.419, + "mean_token_accuracy": 0.18915786296129228, + "num_tokens": 16107750.0, + "step": 7360 + }, + { + "entropy": 6.269041252136231, + "epoch": 7.8606513614522155, + "grad_norm": 1.1875, + "learning_rate": 0.000110381359680573, + "loss": 5.4201, + "mean_token_accuracy": 0.19418328255414963, + "num_tokens": 16118652.0, + "step": 7365 + }, + { + "entropy": 6.27239875793457, + "epoch": 7.865990389749066, + "grad_norm": 1.2109375, + "learning_rate": 0.00011009345645559113, + "loss": 5.4206, + "mean_token_accuracy": 0.1961502403020859, + "num_tokens": 16129598.0, + "step": 7370 + }, + { + "entropy": 6.298056602478027, + "epoch": 7.8713294180459155, + "grad_norm": 1.2578125, + "learning_rate": 0.00010980613542090256, + "loss": 5.4407, + "mean_token_accuracy": 0.18880777657032013, + "num_tokens": 16140844.0, + "step": 7375 + }, + { + "entropy": 6.235966157913208, + "epoch": 7.876668446342766, + "grad_norm": 1.125, + "learning_rate": 0.00010951939759087298, + "loss": 5.4592, + "mean_token_accuracy": 0.1888560727238655, + "num_tokens": 16150922.0, + "step": 7380 + }, + { + "entropy": 6.307231903076172, + "epoch": 7.882007474639615, + "grad_norm": 1.328125, + "learning_rate": 0.00010923324397780887, + "loss": 5.4756, + "mean_token_accuracy": 0.19293616265058516, + "num_tokens": 16162440.0, + "step": 7385 + }, + { + "entropy": 6.284047031402588, + "epoch": 7.887346502936466, + "grad_norm": 1.1328125, + "learning_rate": 0.0001089476755919544, + "loss": 5.4599, + "mean_token_accuracy": 0.19319476932287216, + "num_tokens": 16173475.0, + "step": 7390 + }, + { + "entropy": 6.298360204696655, + "epoch": 7.892685531233315, + "grad_norm": 1.3359375, + "learning_rate": 0.00010866269344148746, + "loss": 5.5093, + "mean_token_accuracy": 0.18962480425834655, + "num_tokens": 16185668.0, + "step": 7395 + }, + { + "entropy": 6.305071783065796, + "epoch": 7.898024559530166, + "grad_norm": 1.2421875, + "learning_rate": 0.00010837829853251636, + "loss": 5.4894, + "mean_token_accuracy": 0.18193406611680984, + "num_tokens": 16198027.0, + "step": 7400 + }, + { + "entropy": 6.3255843162536625, + "epoch": 7.903363587827015, + "grad_norm": 1.234375, + "learning_rate": 0.00010809449186907611, + "loss": 5.5162, + "mean_token_accuracy": 0.18655869215726853, + "num_tokens": 16209601.0, + "step": 7405 + }, + { + "entropy": 6.297071886062622, + "epoch": 7.908702616123866, + "grad_norm": 1.125, + "learning_rate": 0.00010781127445312516, + "loss": 5.3818, + "mean_token_accuracy": 0.2019501507282257, + "num_tokens": 16221300.0, + "step": 7410 + }, + { + "entropy": 6.289458560943603, + "epoch": 7.914041644420715, + "grad_norm": 1.1171875, + "learning_rate": 0.00010752864728454143, + "loss": 5.4794, + "mean_token_accuracy": 0.18796940445899962, + "num_tokens": 16232923.0, + "step": 7415 + }, + { + "entropy": 6.289797735214234, + "epoch": 7.9193806727175655, + "grad_norm": 1.2421875, + "learning_rate": 0.00010724661136111918, + "loss": 5.4568, + "mean_token_accuracy": 0.18568747937679292, + "num_tokens": 16243373.0, + "step": 7420 + }, + { + "entropy": 6.255471897125244, + "epoch": 7.924719701014415, + "grad_norm": 1.25, + "learning_rate": 0.00010696516767856545, + "loss": 5.4383, + "mean_token_accuracy": 0.186435666680336, + "num_tokens": 16254716.0, + "step": 7425 + }, + { + "entropy": 6.313004779815674, + "epoch": 7.930058729311265, + "grad_norm": 1.0546875, + "learning_rate": 0.0001066843172304959, + "loss": 5.5306, + "mean_token_accuracy": 0.18111457228660582, + "num_tokens": 16266174.0, + "step": 7430 + }, + { + "entropy": 6.270875453948975, + "epoch": 7.935397757608115, + "grad_norm": 1.2578125, + "learning_rate": 0.00010640406100843242, + "loss": 5.3602, + "mean_token_accuracy": 0.19346348643302919, + "num_tokens": 16275927.0, + "step": 7435 + }, + { + "entropy": 6.3107868194580075, + "epoch": 7.940736785904965, + "grad_norm": 1.234375, + "learning_rate": 0.00010612440000179861, + "loss": 5.5281, + "mean_token_accuracy": 0.18930120766162872, + "num_tokens": 16287518.0, + "step": 7440 + }, + { + "entropy": 6.290305042266846, + "epoch": 7.946075814201816, + "grad_norm": 1.1875, + "learning_rate": 0.000105845335197917, + "loss": 5.4716, + "mean_token_accuracy": 0.18532466441392897, + "num_tokens": 16298201.0, + "step": 7445 + }, + { + "entropy": 6.315746784210205, + "epoch": 7.951414842498665, + "grad_norm": 1.1953125, + "learning_rate": 0.00010556686758200499, + "loss": 5.4838, + "mean_token_accuracy": 0.1856360211968422, + "num_tokens": 16309768.0, + "step": 7450 + }, + { + "entropy": 6.258326768875122, + "epoch": 7.956753870795515, + "grad_norm": 1.171875, + "learning_rate": 0.00010528899813717194, + "loss": 5.5407, + "mean_token_accuracy": 0.18397447764873504, + "num_tokens": 16320837.0, + "step": 7455 + }, + { + "entropy": 6.266445732116699, + "epoch": 7.962092899092365, + "grad_norm": 1.34375, + "learning_rate": 0.00010501172784441522, + "loss": 5.4617, + "mean_token_accuracy": 0.18468159288167954, + "num_tokens": 16332729.0, + "step": 7460 + }, + { + "entropy": 6.273439836502075, + "epoch": 7.967431927389216, + "grad_norm": 1.125, + "learning_rate": 0.00010473505768261691, + "loss": 5.4136, + "mean_token_accuracy": 0.18490265756845475, + "num_tokens": 16343444.0, + "step": 7465 + }, + { + "entropy": 6.235618734359742, + "epoch": 7.972770955686065, + "grad_norm": 1.25, + "learning_rate": 0.00010445898862854056, + "loss": 5.4047, + "mean_token_accuracy": 0.19600029289722443, + "num_tokens": 16354452.0, + "step": 7470 + }, + { + "entropy": 6.254809045791626, + "epoch": 7.9781099839829155, + "grad_norm": 1.2421875, + "learning_rate": 0.00010418352165682737, + "loss": 5.4354, + "mean_token_accuracy": 0.19964061975479125, + "num_tokens": 16365276.0, + "step": 7475 + }, + { + "entropy": 6.267963027954101, + "epoch": 7.983449012279765, + "grad_norm": 1.1015625, + "learning_rate": 0.00010390865773999305, + "loss": 5.4557, + "mean_token_accuracy": 0.19333289116621016, + "num_tokens": 16376176.0, + "step": 7480 + }, + { + "entropy": 6.220429754257202, + "epoch": 7.988788040576615, + "grad_norm": 1.1953125, + "learning_rate": 0.00010363439784842419, + "loss": 5.4219, + "mean_token_accuracy": 0.18904615938663483, + "num_tokens": 16386610.0, + "step": 7485 + }, + { + "entropy": 6.231282806396484, + "epoch": 7.994127068873465, + "grad_norm": 1.4140625, + "learning_rate": 0.00010336074295037506, + "loss": 5.376, + "mean_token_accuracy": 0.20314324349164964, + "num_tokens": 16396838.0, + "step": 7490 + }, + { + "entropy": 6.271087694168091, + "epoch": 7.999466097170315, + "grad_norm": 1.203125, + "learning_rate": 0.00010308769401196371, + "loss": 5.5287, + "mean_token_accuracy": 0.18455882072448732, + "num_tokens": 16407344.0, + "step": 7495 + }, + { + "entropy": 6.314283529917399, + "epoch": 8.00427122263748, + "grad_norm": 1.21875, + "learning_rate": 0.00010281525199716934, + "loss": 5.3818, + "mean_token_accuracy": 0.1875956224070655, + "num_tokens": 16416439.0, + "step": 7500 + }, + { + "epoch": 8.00427122263748, + "eval_entropy": 6.136151521856134, + "eval_loss": 6.5423078536987305, + "eval_mean_token_accuracy": 0.13510648057638824, + "eval_num_tokens": 16416439.0, + "eval_runtime": 1.8109, + "eval_samples_per_second": 1700.848, + "eval_steps_per_second": 212.606, + "step": 7500 + }, + { + "entropy": 6.285388946533203, + "epoch": 8.00961025093433, + "grad_norm": 1.1640625, + "learning_rate": 0.00010254341786782806, + "loss": 5.4454, + "mean_token_accuracy": 0.19184360802173614, + "num_tokens": 16427682.0, + "step": 7505 + }, + { + "entropy": 6.251141166687011, + "epoch": 8.01494927923118, + "grad_norm": 1.1171875, + "learning_rate": 0.00010227219258363021, + "loss": 5.3525, + "mean_token_accuracy": 0.1970635950565338, + "num_tokens": 16438338.0, + "step": 7510 + }, + { + "entropy": 6.2690081119537355, + "epoch": 8.02028830752803, + "grad_norm": 1.3203125, + "learning_rate": 0.00010200157710211637, + "loss": 5.3709, + "mean_token_accuracy": 0.20117098987102508, + "num_tokens": 16449151.0, + "step": 7515 + }, + { + "entropy": 6.241944169998169, + "epoch": 8.025627335824879, + "grad_norm": 1.25, + "learning_rate": 0.00010173157237867444, + "loss": 5.3415, + "mean_token_accuracy": 0.19427326321601868, + "num_tokens": 16460160.0, + "step": 7520 + }, + { + "entropy": 6.247269773483277, + "epoch": 8.03096636412173, + "grad_norm": 1.234375, + "learning_rate": 0.00010146217936653614, + "loss": 5.3315, + "mean_token_accuracy": 0.20295249819755554, + "num_tokens": 16470602.0, + "step": 7525 + }, + { + "entropy": 6.3116706848144535, + "epoch": 8.03630539241858, + "grad_norm": 1.265625, + "learning_rate": 0.0001011933990167732, + "loss": 5.3299, + "mean_token_accuracy": 0.19919252395629883, + "num_tokens": 16481086.0, + "step": 7530 + }, + { + "entropy": 6.287974166870117, + "epoch": 8.04164442071543, + "grad_norm": 1.1484375, + "learning_rate": 0.00010092523227829492, + "loss": 5.3898, + "mean_token_accuracy": 0.1971887692809105, + "num_tokens": 16492012.0, + "step": 7535 + }, + { + "entropy": 6.300996112823486, + "epoch": 8.046983449012279, + "grad_norm": 1.234375, + "learning_rate": 0.00010065768009784381, + "loss": 5.447, + "mean_token_accuracy": 0.1879270300269127, + "num_tokens": 16502793.0, + "step": 7540 + }, + { + "entropy": 6.330128574371338, + "epoch": 8.05232247730913, + "grad_norm": 1.1875, + "learning_rate": 0.0001003907434199932, + "loss": 5.4588, + "mean_token_accuracy": 0.19208128452301027, + "num_tokens": 16512457.0, + "step": 7545 + }, + { + "entropy": 6.296833324432373, + "epoch": 8.05766150560598, + "grad_norm": 1.40625, + "learning_rate": 0.000100124423187143, + "loss": 5.3995, + "mean_token_accuracy": 0.19723411351442338, + "num_tokens": 16522859.0, + "step": 7550 + }, + { + "entropy": 6.311189317703247, + "epoch": 8.06300053390283, + "grad_norm": 1.1953125, + "learning_rate": 9.985872033951708e-05, + "loss": 5.4119, + "mean_token_accuracy": 0.195047065615654, + "num_tokens": 16533755.0, + "step": 7555 + }, + { + "entropy": 6.288791131973267, + "epoch": 8.06833956219968, + "grad_norm": 1.2578125, + "learning_rate": 9.95936358151596e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.19499182999134063, + "num_tokens": 16544928.0, + "step": 7560 + }, + { + "entropy": 6.2984113693237305, + "epoch": 8.07367859049653, + "grad_norm": 1.2109375, + "learning_rate": 9.932917054993168e-05, + "loss": 5.3576, + "mean_token_accuracy": 0.20289150178432463, + "num_tokens": 16554730.0, + "step": 7565 + }, + { + "entropy": 6.211780023574829, + "epoch": 8.07901761879338, + "grad_norm": 1.2578125, + "learning_rate": 9.906532547750839e-05, + "loss": 5.3808, + "mean_token_accuracy": 0.19330030232667922, + "num_tokens": 16565374.0, + "step": 7570 + }, + { + "entropy": 6.291947889328003, + "epoch": 8.08435664709023, + "grad_norm": 1.09375, + "learning_rate": 9.880210152937502e-05, + "loss": 5.373, + "mean_token_accuracy": 0.19923413395881653, + "num_tokens": 16576477.0, + "step": 7575 + }, + { + "entropy": 6.276288414001465, + "epoch": 8.08969567538708, + "grad_norm": 1.1171875, + "learning_rate": 9.85394996348243e-05, + "loss": 5.3712, + "mean_token_accuracy": 0.20000862181186677, + "num_tokens": 16587675.0, + "step": 7580 + }, + { + "entropy": 6.247407913208008, + "epoch": 8.095034703683929, + "grad_norm": 1.046875, + "learning_rate": 9.827752072095258e-05, + "loss": 5.2777, + "mean_token_accuracy": 0.2046089142560959, + "num_tokens": 16600895.0, + "step": 7585 + }, + { + "entropy": 6.35636796951294, + "epoch": 8.10037373198078, + "grad_norm": 1.1484375, + "learning_rate": 9.801616571265709e-05, + "loss": 5.4592, + "mean_token_accuracy": 0.19454747587442398, + "num_tokens": 16612318.0, + "step": 7590 + }, + { + "entropy": 6.331305074691772, + "epoch": 8.10571276027763, + "grad_norm": 1.1796875, + "learning_rate": 9.775543553263203e-05, + "loss": 5.4849, + "mean_token_accuracy": 0.18617027550935744, + "num_tokens": 16623490.0, + "step": 7595 + }, + { + "entropy": 6.314173412322998, + "epoch": 8.11105178857448, + "grad_norm": 1.140625, + "learning_rate": 9.74953311013661e-05, + "loss": 5.4335, + "mean_token_accuracy": 0.19303737729787826, + "num_tokens": 16635378.0, + "step": 7600 + }, + { + "entropy": 6.272602128982544, + "epoch": 8.116390816871329, + "grad_norm": 1.2578125, + "learning_rate": 9.723585333713853e-05, + "loss": 5.3626, + "mean_token_accuracy": 0.1940835028886795, + "num_tokens": 16645073.0, + "step": 7605 + }, + { + "entropy": 6.308458137512207, + "epoch": 8.12172984516818, + "grad_norm": 1.171875, + "learning_rate": 9.697700315601643e-05, + "loss": 5.403, + "mean_token_accuracy": 0.19990355968475343, + "num_tokens": 16655891.0, + "step": 7610 + }, + { + "entropy": 6.243864917755127, + "epoch": 8.12706887346503, + "grad_norm": 1.203125, + "learning_rate": 9.671878147185097e-05, + "loss": 5.3733, + "mean_token_accuracy": 0.20272928178310395, + "num_tokens": 16665887.0, + "step": 7615 + }, + { + "entropy": 6.275272703170776, + "epoch": 8.13240790176188, + "grad_norm": 1.1484375, + "learning_rate": 9.646118919627466e-05, + "loss": 5.4103, + "mean_token_accuracy": 0.19670272767543792, + "num_tokens": 16677282.0, + "step": 7620 + }, + { + "entropy": 6.315062665939331, + "epoch": 8.137746930058729, + "grad_norm": 1.09375, + "learning_rate": 9.620422723869804e-05, + "loss": 5.4226, + "mean_token_accuracy": 0.1900483101606369, + "num_tokens": 16688907.0, + "step": 7625 + }, + { + "entropy": 6.273891258239746, + "epoch": 8.143085958355579, + "grad_norm": 1.234375, + "learning_rate": 9.594789650630595e-05, + "loss": 5.3772, + "mean_token_accuracy": 0.19321130514144896, + "num_tokens": 16698767.0, + "step": 7630 + }, + { + "entropy": 6.313991069793701, + "epoch": 8.14842498665243, + "grad_norm": 1.265625, + "learning_rate": 9.569219790405514e-05, + "loss": 5.3572, + "mean_token_accuracy": 0.1905400574207306, + "num_tokens": 16708789.0, + "step": 7635 + }, + { + "entropy": 6.297112989425659, + "epoch": 8.15376401494928, + "grad_norm": 1.2421875, + "learning_rate": 9.543713233467044e-05, + "loss": 5.4322, + "mean_token_accuracy": 0.19112920761108398, + "num_tokens": 16718923.0, + "step": 7640 + }, + { + "entropy": 6.326007986068726, + "epoch": 8.159103043246128, + "grad_norm": 1.1875, + "learning_rate": 9.518270069864194e-05, + "loss": 5.5019, + "mean_token_accuracy": 0.18736330568790435, + "num_tokens": 16730878.0, + "step": 7645 + }, + { + "entropy": 6.2732117652893065, + "epoch": 8.164442071542979, + "grad_norm": 1.2421875, + "learning_rate": 9.492890389422157e-05, + "loss": 5.3433, + "mean_token_accuracy": 0.1988297149538994, + "num_tokens": 16740736.0, + "step": 7650 + }, + { + "entropy": 6.253875780105591, + "epoch": 8.16978109983983, + "grad_norm": 1.359375, + "learning_rate": 9.467574281742015e-05, + "loss": 5.3155, + "mean_token_accuracy": 0.20268877744674682, + "num_tokens": 16750294.0, + "step": 7655 + }, + { + "entropy": 6.25405969619751, + "epoch": 8.17512012813668, + "grad_norm": 1.1484375, + "learning_rate": 9.442321836200399e-05, + "loss": 5.4421, + "mean_token_accuracy": 0.19080522060394287, + "num_tokens": 16761683.0, + "step": 7660 + }, + { + "entropy": 6.2844563007354735, + "epoch": 8.180459156433528, + "grad_norm": 1.1953125, + "learning_rate": 9.417133141949186e-05, + "loss": 5.4373, + "mean_token_accuracy": 0.1910292387008667, + "num_tokens": 16772828.0, + "step": 7665 + }, + { + "entropy": 6.286375570297241, + "epoch": 8.185798184730379, + "grad_norm": 1.34375, + "learning_rate": 9.392008287915201e-05, + "loss": 5.4376, + "mean_token_accuracy": 0.19190025478601455, + "num_tokens": 16783853.0, + "step": 7670 + }, + { + "entropy": 6.296071195602417, + "epoch": 8.191137213027229, + "grad_norm": 1.3515625, + "learning_rate": 9.366947362799858e-05, + "loss": 5.3816, + "mean_token_accuracy": 0.19442843794822692, + "num_tokens": 16794032.0, + "step": 7675 + }, + { + "entropy": 6.2660017013549805, + "epoch": 8.19647624132408, + "grad_norm": 1.2265625, + "learning_rate": 9.341950455078907e-05, + "loss": 5.4141, + "mean_token_accuracy": 0.19492938816547395, + "num_tokens": 16805269.0, + "step": 7680 + }, + { + "entropy": 6.236077737808228, + "epoch": 8.20181526962093, + "grad_norm": 1.1484375, + "learning_rate": 9.31701765300206e-05, + "loss": 5.2736, + "mean_token_accuracy": 0.2090698704123497, + "num_tokens": 16817116.0, + "step": 7685 + }, + { + "entropy": 6.280970525741577, + "epoch": 8.207154297917779, + "grad_norm": 1.2109375, + "learning_rate": 9.292149044592733e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19769419878721237, + "num_tokens": 16828492.0, + "step": 7690 + }, + { + "entropy": 6.312994480133057, + "epoch": 8.212493326214629, + "grad_norm": 1.1171875, + "learning_rate": 9.267344717647682e-05, + "loss": 5.4436, + "mean_token_accuracy": 0.19130415469408035, + "num_tokens": 16839715.0, + "step": 7695 + }, + { + "entropy": 6.257885408401489, + "epoch": 8.21783235451148, + "grad_norm": 1.1796875, + "learning_rate": 9.242604759736759e-05, + "loss": 5.4476, + "mean_token_accuracy": 0.19316410273313522, + "num_tokens": 16850451.0, + "step": 7700 + }, + { + "entropy": 6.300156831741333, + "epoch": 8.22317138280833, + "grad_norm": 1.1796875, + "learning_rate": 9.217929258202528e-05, + "loss": 5.3927, + "mean_token_accuracy": 0.19539438039064408, + "num_tokens": 16861046.0, + "step": 7705 + }, + { + "entropy": 6.311345863342285, + "epoch": 8.228510411105178, + "grad_norm": 1.25, + "learning_rate": 9.193318300160024e-05, + "loss": 5.358, + "mean_token_accuracy": 0.19471683353185654, + "num_tokens": 16871748.0, + "step": 7710 + }, + { + "entropy": 6.294392871856689, + "epoch": 8.233849439402029, + "grad_norm": 1.1796875, + "learning_rate": 9.168771972496404e-05, + "loss": 5.3503, + "mean_token_accuracy": 0.19816206097602845, + "num_tokens": 16883126.0, + "step": 7715 + }, + { + "entropy": 6.264479064941407, + "epoch": 8.23918846769888, + "grad_norm": 1.203125, + "learning_rate": 9.144290361870652e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.19831522554159164, + "num_tokens": 16894377.0, + "step": 7720 + }, + { + "entropy": 6.309286832809448, + "epoch": 8.24452749599573, + "grad_norm": 1.1796875, + "learning_rate": 9.119873554713274e-05, + "loss": 5.4392, + "mean_token_accuracy": 0.19227964729070662, + "num_tokens": 16905234.0, + "step": 7725 + }, + { + "entropy": 6.304486989974976, + "epoch": 8.249866524292578, + "grad_norm": 1.265625, + "learning_rate": 9.095521637225988e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.1948908343911171, + "num_tokens": 16915031.0, + "step": 7730 + }, + { + "entropy": 6.334994268417359, + "epoch": 8.255205552589429, + "grad_norm": 1.21875, + "learning_rate": 9.071234695381441e-05, + "loss": 5.441, + "mean_token_accuracy": 0.18804772496223449, + "num_tokens": 16926595.0, + "step": 7735 + }, + { + "entropy": 6.2513487339019775, + "epoch": 8.260544580886279, + "grad_norm": 1.2421875, + "learning_rate": 9.04701281492286e-05, + "loss": 5.3925, + "mean_token_accuracy": 0.20451612323522567, + "num_tokens": 16937612.0, + "step": 7740 + }, + { + "entropy": 6.253056144714355, + "epoch": 8.26588360918313, + "grad_norm": 1.1953125, + "learning_rate": 9.022856081363806e-05, + "loss": 5.377, + "mean_token_accuracy": 0.1940850868821144, + "num_tokens": 16948734.0, + "step": 7745 + }, + { + "entropy": 6.265314435958862, + "epoch": 8.271222637479978, + "grad_norm": 1.0546875, + "learning_rate": 8.998764579987823e-05, + "loss": 5.3621, + "mean_token_accuracy": 0.1988656148314476, + "num_tokens": 16961310.0, + "step": 7750 + }, + { + "entropy": 6.3020031452178955, + "epoch": 8.276561665776828, + "grad_norm": 1.3515625, + "learning_rate": 8.974738395848171e-05, + "loss": 5.3774, + "mean_token_accuracy": 0.19321369230747223, + "num_tokens": 16971196.0, + "step": 7755 + }, + { + "entropy": 6.257359170913697, + "epoch": 8.281900694073679, + "grad_norm": 1.0078125, + "learning_rate": 8.950777613767508e-05, + "loss": 5.4115, + "mean_token_accuracy": 0.19390098601579667, + "num_tokens": 16983424.0, + "step": 7760 + }, + { + "entropy": 6.257221746444702, + "epoch": 8.28723972237053, + "grad_norm": 1.234375, + "learning_rate": 8.926882318337586e-05, + "loss": 5.301, + "mean_token_accuracy": 0.19741829335689545, + "num_tokens": 16994389.0, + "step": 7765 + }, + { + "entropy": 6.277281904220581, + "epoch": 8.292578750667378, + "grad_norm": 1.2109375, + "learning_rate": 8.903052593918979e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.1859165444970131, + "num_tokens": 17006239.0, + "step": 7770 + }, + { + "entropy": 6.239947509765625, + "epoch": 8.297917778964228, + "grad_norm": 1.1953125, + "learning_rate": 8.879288524640747e-05, + "loss": 5.3851, + "mean_token_accuracy": 0.18899611085653306, + "num_tokens": 17018648.0, + "step": 7775 + }, + { + "entropy": 6.286568927764892, + "epoch": 8.303256807261079, + "grad_norm": 1.2109375, + "learning_rate": 8.855590194400182e-05, + "loss": 5.4784, + "mean_token_accuracy": 0.18599783927202224, + "num_tokens": 17028965.0, + "step": 7780 + }, + { + "entropy": 6.27871527671814, + "epoch": 8.308595835557929, + "grad_norm": 1.3515625, + "learning_rate": 8.83195768686247e-05, + "loss": 5.4402, + "mean_token_accuracy": 0.18707661628723143, + "num_tokens": 17039432.0, + "step": 7785 + }, + { + "entropy": 6.333696699142456, + "epoch": 8.313934863854778, + "grad_norm": 1.15625, + "learning_rate": 8.808391085460424e-05, + "loss": 5.4866, + "mean_token_accuracy": 0.19333939999341965, + "num_tokens": 17050931.0, + "step": 7790 + }, + { + "entropy": 6.309759092330933, + "epoch": 8.319273892151628, + "grad_norm": 1.1953125, + "learning_rate": 8.784890473394173e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19778697490692138, + "num_tokens": 17062665.0, + "step": 7795 + }, + { + "entropy": 6.358693599700928, + "epoch": 8.324612920448478, + "grad_norm": 1.046875, + "learning_rate": 8.761455933630891e-05, + "loss": 5.4792, + "mean_token_accuracy": 0.18731221705675125, + "num_tokens": 17074008.0, + "step": 7800 + }, + { + "entropy": 6.290230798721313, + "epoch": 8.329951948745329, + "grad_norm": 1.203125, + "learning_rate": 8.738087548904467e-05, + "loss": 5.426, + "mean_token_accuracy": 0.18245502561330795, + "num_tokens": 17084541.0, + "step": 7805 + }, + { + "entropy": 6.289392805099487, + "epoch": 8.335290977042177, + "grad_norm": 1.2265625, + "learning_rate": 8.714785401715258e-05, + "loss": 5.4459, + "mean_token_accuracy": 0.1914304554462433, + "num_tokens": 17095094.0, + "step": 7810 + }, + { + "entropy": 6.31272611618042, + "epoch": 8.340630005339028, + "grad_norm": 1.1640625, + "learning_rate": 8.691549574329752e-05, + "loss": 5.4214, + "mean_token_accuracy": 0.19288700073957443, + "num_tokens": 17105985.0, + "step": 7815 + }, + { + "entropy": 6.292475700378418, + "epoch": 8.345969033635878, + "grad_norm": 1.234375, + "learning_rate": 8.668380148780319e-05, + "loss": 5.4225, + "mean_token_accuracy": 0.18336446732282638, + "num_tokens": 17116016.0, + "step": 7820 + }, + { + "entropy": 6.247875785827636, + "epoch": 8.351308061932729, + "grad_norm": 1.171875, + "learning_rate": 8.64527720686489e-05, + "loss": 5.4281, + "mean_token_accuracy": 0.19529077261686326, + "num_tokens": 17126484.0, + "step": 7825 + }, + { + "entropy": 6.305013608932495, + "epoch": 8.356647090229579, + "grad_norm": 1.25, + "learning_rate": 8.62224083014668e-05, + "loss": 5.4798, + "mean_token_accuracy": 0.19113296419382095, + "num_tokens": 17138108.0, + "step": 7830 + }, + { + "entropy": 6.316189479827881, + "epoch": 8.361986118526428, + "grad_norm": 1.1796875, + "learning_rate": 8.599271099953912e-05, + "loss": 5.4076, + "mean_token_accuracy": 0.1995265394449234, + "num_tokens": 17149224.0, + "step": 7835 + }, + { + "entropy": 6.284372425079345, + "epoch": 8.367325146823278, + "grad_norm": 1.234375, + "learning_rate": 8.576368097379502e-05, + "loss": 5.4442, + "mean_token_accuracy": 0.1908060133457184, + "num_tokens": 17161156.0, + "step": 7840 + }, + { + "entropy": 6.338185119628906, + "epoch": 8.372664175120129, + "grad_norm": 1.3359375, + "learning_rate": 8.553531903280815e-05, + "loss": 5.4417, + "mean_token_accuracy": 0.19008296579122544, + "num_tokens": 17171528.0, + "step": 7845 + }, + { + "entropy": 6.336772871017456, + "epoch": 8.378003203416979, + "grad_norm": 1.125, + "learning_rate": 8.530762598279318e-05, + "loss": 5.5014, + "mean_token_accuracy": 0.18084470331668853, + "num_tokens": 17181784.0, + "step": 7850 + }, + { + "entropy": 6.286856937408447, + "epoch": 8.383342231713828, + "grad_norm": 1.1171875, + "learning_rate": 8.508060262760353e-05, + "loss": 5.3487, + "mean_token_accuracy": 0.20462595373392106, + "num_tokens": 17192988.0, + "step": 7855 + }, + { + "entropy": 6.279626417160034, + "epoch": 8.388681260010678, + "grad_norm": 1.1484375, + "learning_rate": 8.485424976872835e-05, + "loss": 5.4212, + "mean_token_accuracy": 0.18943293690681456, + "num_tokens": 17203759.0, + "step": 7860 + }, + { + "entropy": 6.281919240951538, + "epoch": 8.394020288307528, + "grad_norm": 1.2421875, + "learning_rate": 8.46285682052895e-05, + "loss": 5.377, + "mean_token_accuracy": 0.20012870728969573, + "num_tokens": 17213768.0, + "step": 7865 + }, + { + "entropy": 6.262228155136109, + "epoch": 8.399359316604379, + "grad_norm": 1.15625, + "learning_rate": 8.44035587340391e-05, + "loss": 5.4503, + "mean_token_accuracy": 0.19287367165088654, + "num_tokens": 17225550.0, + "step": 7870 + }, + { + "entropy": 6.332665014266968, + "epoch": 8.404698344901227, + "grad_norm": 1.1796875, + "learning_rate": 8.417922214935621e-05, + "loss": 5.462, + "mean_token_accuracy": 0.18738492280244828, + "num_tokens": 17235969.0, + "step": 7875 + }, + { + "entropy": 6.258744144439698, + "epoch": 8.410037373198078, + "grad_norm": 1.2109375, + "learning_rate": 8.395555924324457e-05, + "loss": 5.3671, + "mean_token_accuracy": 0.20065730661153794, + "num_tokens": 17247529.0, + "step": 7880 + }, + { + "entropy": 6.278067016601563, + "epoch": 8.415376401494928, + "grad_norm": 1.109375, + "learning_rate": 8.37325708053294e-05, + "loss": 5.4302, + "mean_token_accuracy": 0.19352214634418488, + "num_tokens": 17258971.0, + "step": 7885 + }, + { + "entropy": 6.2095043659210205, + "epoch": 8.420715429791779, + "grad_norm": 1.421875, + "learning_rate": 8.35102576228548e-05, + "loss": 5.3371, + "mean_token_accuracy": 0.20132233202457428, + "num_tokens": 17271281.0, + "step": 7890 + }, + { + "entropy": 6.227483892440796, + "epoch": 8.426054458088627, + "grad_norm": 1.34375, + "learning_rate": 8.328862048068089e-05, + "loss": 5.3125, + "mean_token_accuracy": 0.19799865186214446, + "num_tokens": 17281419.0, + "step": 7895 + }, + { + "entropy": 6.268981170654297, + "epoch": 8.431393486385478, + "grad_norm": 1.078125, + "learning_rate": 8.306766016128125e-05, + "loss": 5.37, + "mean_token_accuracy": 0.19525525271892546, + "num_tokens": 17292867.0, + "step": 7900 + }, + { + "entropy": 6.299656820297241, + "epoch": 8.436732514682328, + "grad_norm": 1.3125, + "learning_rate": 8.284737744473972e-05, + "loss": 5.426, + "mean_token_accuracy": 0.19533834755420684, + "num_tokens": 17303565.0, + "step": 7905 + }, + { + "entropy": 6.247980737686158, + "epoch": 8.442071542979178, + "grad_norm": 1.2265625, + "learning_rate": 8.26277731087482e-05, + "loss": 5.3546, + "mean_token_accuracy": 0.18990732878446578, + "num_tokens": 17315107.0, + "step": 7910 + }, + { + "entropy": 6.323516082763672, + "epoch": 8.447410571276027, + "grad_norm": 1.1796875, + "learning_rate": 8.240884792860336e-05, + "loss": 5.4517, + "mean_token_accuracy": 0.18722765147686005, + "num_tokens": 17326606.0, + "step": 7915 + }, + { + "entropy": 6.2622026920318605, + "epoch": 8.452749599572877, + "grad_norm": 1.09375, + "learning_rate": 8.219060267720427e-05, + "loss": 5.4435, + "mean_token_accuracy": 0.18907711058855056, + "num_tokens": 17337503.0, + "step": 7920 + }, + { + "entropy": 6.281539106369019, + "epoch": 8.458088627869728, + "grad_norm": 1.25, + "learning_rate": 8.197303812504968e-05, + "loss": 5.3781, + "mean_token_accuracy": 0.19827369153499602, + "num_tokens": 17347697.0, + "step": 7925 + }, + { + "entropy": 6.314615678787232, + "epoch": 8.463427656166578, + "grad_norm": 1.15625, + "learning_rate": 8.175615504023494e-05, + "loss": 5.5319, + "mean_token_accuracy": 0.17755035161972046, + "num_tokens": 17359656.0, + "step": 7930 + }, + { + "entropy": 6.286178731918335, + "epoch": 8.468766684463427, + "grad_norm": 1.265625, + "learning_rate": 8.153995418844974e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.191170571744442, + "num_tokens": 17370869.0, + "step": 7935 + }, + { + "entropy": 6.290740489959717, + "epoch": 8.474105712760277, + "grad_norm": 1.2109375, + "learning_rate": 8.132443633297508e-05, + "loss": 5.3663, + "mean_token_accuracy": 0.20106685310602188, + "num_tokens": 17380716.0, + "step": 7940 + }, + { + "entropy": 6.300388383865356, + "epoch": 8.479444741057128, + "grad_norm": 1.2265625, + "learning_rate": 8.110960223468077e-05, + "loss": 5.4171, + "mean_token_accuracy": 0.1983788177371025, + "num_tokens": 17392012.0, + "step": 7945 + }, + { + "entropy": 6.256002759933471, + "epoch": 8.484783769353978, + "grad_norm": 1.09375, + "learning_rate": 8.089545265202258e-05, + "loss": 5.3892, + "mean_token_accuracy": 0.19373163133859633, + "num_tokens": 17403199.0, + "step": 7950 + }, + { + "entropy": 6.30955057144165, + "epoch": 8.490122797650827, + "grad_norm": 1.21875, + "learning_rate": 8.068198834103967e-05, + "loss": 5.4173, + "mean_token_accuracy": 0.19167587906122208, + "num_tokens": 17414020.0, + "step": 7955 + }, + { + "entropy": 6.248732852935791, + "epoch": 8.495461825947677, + "grad_norm": 1.3359375, + "learning_rate": 8.046921005535198e-05, + "loss": 5.4111, + "mean_token_accuracy": 0.19576088786125184, + "num_tokens": 17425460.0, + "step": 7960 + }, + { + "entropy": 6.26835789680481, + "epoch": 8.500800854244527, + "grad_norm": 1.1015625, + "learning_rate": 8.02571185461574e-05, + "loss": 5.3683, + "mean_token_accuracy": 0.19737352728843688, + "num_tokens": 17435819.0, + "step": 7965 + }, + { + "entropy": 6.298630714416504, + "epoch": 8.506139882541378, + "grad_norm": 1.3125, + "learning_rate": 8.004571456222928e-05, + "loss": 5.4343, + "mean_token_accuracy": 0.1900707334280014, + "num_tokens": 17446000.0, + "step": 7970 + }, + { + "entropy": 6.339548397064209, + "epoch": 8.511478910838228, + "grad_norm": 1.1171875, + "learning_rate": 7.983499884991356e-05, + "loss": 5.4799, + "mean_token_accuracy": 0.18726177364587784, + "num_tokens": 17456986.0, + "step": 7975 + }, + { + "entropy": 6.317312383651734, + "epoch": 8.516817939135077, + "grad_norm": 1.2734375, + "learning_rate": 7.962497215312662e-05, + "loss": 5.4299, + "mean_token_accuracy": 0.19350540190935134, + "num_tokens": 17467144.0, + "step": 7980 + }, + { + "entropy": 6.330316781997681, + "epoch": 8.522156967431927, + "grad_norm": 1.21875, + "learning_rate": 7.94156352133518e-05, + "loss": 5.4731, + "mean_token_accuracy": 0.1904843494296074, + "num_tokens": 17479243.0, + "step": 7985 + }, + { + "entropy": 6.309084367752075, + "epoch": 8.527495995728778, + "grad_norm": 1.1875, + "learning_rate": 7.920698876963784e-05, + "loss": 5.3797, + "mean_token_accuracy": 0.19125119149684905, + "num_tokens": 17490447.0, + "step": 7990 + }, + { + "entropy": 6.285092973709107, + "epoch": 8.532835024025628, + "grad_norm": 1.2109375, + "learning_rate": 7.899903355859534e-05, + "loss": 5.4727, + "mean_token_accuracy": 0.18608825355768205, + "num_tokens": 17500464.0, + "step": 7995 + }, + { + "entropy": 6.267555618286133, + "epoch": 8.538174052322477, + "grad_norm": 1.5546875, + "learning_rate": 7.879177031439487e-05, + "loss": 5.4077, + "mean_token_accuracy": 0.1957908973097801, + "num_tokens": 17510189.0, + "step": 8000 + }, + { + "epoch": 8.538174052322477, + "eval_entropy": 6.129665725262134, + "eval_loss": 6.549795627593994, + "eval_mean_token_accuracy": 0.13511817216292604, + "eval_num_tokens": 17510189.0, + "eval_runtime": 1.8063, + "eval_samples_per_second": 1705.136, + "eval_steps_per_second": 213.142, + "step": 8000 + }, + { + "entropy": 6.260827922821045, + "epoch": 8.543513080619327, + "grad_norm": 1.2421875, + "learning_rate": 7.858519976876375e-05, + "loss": 5.4092, + "mean_token_accuracy": 0.19452549070119857, + "num_tokens": 17521622.0, + "step": 8005 + }, + { + "entropy": 6.289570903778076, + "epoch": 8.548852108916178, + "grad_norm": 1.265625, + "learning_rate": 7.837932265098407e-05, + "loss": 5.3852, + "mean_token_accuracy": 0.1945295363664627, + "num_tokens": 17532483.0, + "step": 8010 + }, + { + "entropy": 6.254086351394653, + "epoch": 8.554191137213028, + "grad_norm": 1.171875, + "learning_rate": 7.817413968788965e-05, + "loss": 5.4318, + "mean_token_accuracy": 0.19627286940813066, + "num_tokens": 17543402.0, + "step": 8015 + }, + { + "entropy": 6.224242401123047, + "epoch": 8.559530165509877, + "grad_norm": 1.2265625, + "learning_rate": 7.796965160386362e-05, + "loss": 5.3644, + "mean_token_accuracy": 0.20089459866285325, + "num_tokens": 17554395.0, + "step": 8020 + }, + { + "entropy": 6.309196805953979, + "epoch": 8.564869193806727, + "grad_norm": 1.1953125, + "learning_rate": 7.776585912083605e-05, + "loss": 5.4384, + "mean_token_accuracy": 0.1892755374312401, + "num_tokens": 17566481.0, + "step": 8025 + }, + { + "entropy": 6.273343563079834, + "epoch": 8.570208222103577, + "grad_norm": 1.3046875, + "learning_rate": 7.756276295828108e-05, + "loss": 5.2555, + "mean_token_accuracy": 0.1954508826136589, + "num_tokens": 17576807.0, + "step": 8030 + }, + { + "entropy": 6.303921890258789, + "epoch": 8.575547250400428, + "grad_norm": 1.265625, + "learning_rate": 7.736036383321467e-05, + "loss": 5.3849, + "mean_token_accuracy": 0.20346123427152635, + "num_tokens": 17587176.0, + "step": 8035 + }, + { + "entropy": 6.255138206481933, + "epoch": 8.580886278697276, + "grad_norm": 1.21875, + "learning_rate": 7.715866246019181e-05, + "loss": 5.3759, + "mean_token_accuracy": 0.1968400612473488, + "num_tokens": 17598681.0, + "step": 8040 + }, + { + "entropy": 6.262888479232788, + "epoch": 8.586225306994127, + "grad_norm": 1.2421875, + "learning_rate": 7.695765955130439e-05, + "loss": 5.4428, + "mean_token_accuracy": 0.1876814156770706, + "num_tokens": 17611782.0, + "step": 8045 + }, + { + "entropy": 6.342615556716919, + "epoch": 8.591564335290977, + "grad_norm": 1.234375, + "learning_rate": 7.675735581617799e-05, + "loss": 5.3968, + "mean_token_accuracy": 0.1906011000275612, + "num_tokens": 17623422.0, + "step": 8050 + }, + { + "entropy": 6.258514022827148, + "epoch": 8.596903363587828, + "grad_norm": 1.015625, + "learning_rate": 7.655775196197017e-05, + "loss": 5.3518, + "mean_token_accuracy": 0.20063089579343796, + "num_tokens": 17635844.0, + "step": 8055 + }, + { + "entropy": 6.334230518341064, + "epoch": 8.602242391884676, + "grad_norm": 1.234375, + "learning_rate": 7.635884869336753e-05, + "loss": 5.4009, + "mean_token_accuracy": 0.19301522970199586, + "num_tokens": 17646476.0, + "step": 8060 + }, + { + "entropy": 6.269136762619018, + "epoch": 8.607581420181527, + "grad_norm": 1.109375, + "learning_rate": 7.616064671258323e-05, + "loss": 5.3929, + "mean_token_accuracy": 0.19156181663274766, + "num_tokens": 17658601.0, + "step": 8065 + }, + { + "entropy": 6.231473970413208, + "epoch": 8.612920448478377, + "grad_norm": 1.1171875, + "learning_rate": 7.596314671935467e-05, + "loss": 5.32, + "mean_token_accuracy": 0.1986356794834137, + "num_tokens": 17669287.0, + "step": 8070 + }, + { + "entropy": 6.267216491699219, + "epoch": 8.618259476775227, + "grad_norm": 1.28125, + "learning_rate": 7.576634941094082e-05, + "loss": 5.3243, + "mean_token_accuracy": 0.19997939467430115, + "num_tokens": 17679545.0, + "step": 8075 + }, + { + "entropy": 6.307940292358398, + "epoch": 8.623598505072078, + "grad_norm": 1.3203125, + "learning_rate": 7.557025548212012e-05, + "loss": 5.4149, + "mean_token_accuracy": 0.1952625036239624, + "num_tokens": 17689779.0, + "step": 8080 + }, + { + "entropy": 6.272298049926758, + "epoch": 8.628937533368926, + "grad_norm": 1.1796875, + "learning_rate": 7.537486562518735e-05, + "loss": 5.4555, + "mean_token_accuracy": 0.1893584817647934, + "num_tokens": 17702643.0, + "step": 8085 + }, + { + "entropy": 6.264082765579223, + "epoch": 8.634276561665777, + "grad_norm": 1.265625, + "learning_rate": 7.518018052995208e-05, + "loss": 5.4366, + "mean_token_accuracy": 0.19213759452104567, + "num_tokens": 17713166.0, + "step": 8090 + }, + { + "entropy": 6.306223630905151, + "epoch": 8.639615589962627, + "grad_norm": 1.0546875, + "learning_rate": 7.498620088373544e-05, + "loss": 5.452, + "mean_token_accuracy": 0.1918992280960083, + "num_tokens": 17724822.0, + "step": 8095 + }, + { + "entropy": 6.263330554962158, + "epoch": 8.644954618259476, + "grad_norm": 1.171875, + "learning_rate": 7.479292737136828e-05, + "loss": 5.306, + "mean_token_accuracy": 0.1935967832803726, + "num_tokens": 17737078.0, + "step": 8100 + }, + { + "entropy": 6.295151472091675, + "epoch": 8.650293646556326, + "grad_norm": 1.2109375, + "learning_rate": 7.460036067518823e-05, + "loss": 5.4485, + "mean_token_accuracy": 0.18652090430259705, + "num_tokens": 17747670.0, + "step": 8105 + }, + { + "entropy": 6.289189004898072, + "epoch": 8.655632674853177, + "grad_norm": 1.203125, + "learning_rate": 7.44085014750378e-05, + "loss": 5.4625, + "mean_token_accuracy": 0.19083506464958191, + "num_tokens": 17758797.0, + "step": 8110 + }, + { + "entropy": 6.2896851062774655, + "epoch": 8.660971703150027, + "grad_norm": 1.2109375, + "learning_rate": 7.421735044826161e-05, + "loss": 5.4579, + "mean_token_accuracy": 0.19278580099344253, + "num_tokens": 17768713.0, + "step": 8115 + }, + { + "entropy": 6.365323209762574, + "epoch": 8.666310731446877, + "grad_norm": 1.2265625, + "learning_rate": 7.40269082697041e-05, + "loss": 5.4318, + "mean_token_accuracy": 0.19228217154741287, + "num_tokens": 17778964.0, + "step": 8120 + }, + { + "entropy": 6.255847215652466, + "epoch": 8.671649759743726, + "grad_norm": 1.1796875, + "learning_rate": 7.383717561170728e-05, + "loss": 5.3435, + "mean_token_accuracy": 0.20172299146652223, + "num_tokens": 17790108.0, + "step": 8125 + }, + { + "entropy": 6.313925886154175, + "epoch": 8.676988788040576, + "grad_norm": 1.1171875, + "learning_rate": 7.364815314410816e-05, + "loss": 5.4923, + "mean_token_accuracy": 0.19610096514225006, + "num_tokens": 17801626.0, + "step": 8130 + }, + { + "entropy": 6.339280319213867, + "epoch": 8.682327816337427, + "grad_norm": 1.140625, + "learning_rate": 7.345984153423656e-05, + "loss": 5.4846, + "mean_token_accuracy": 0.18328692018985748, + "num_tokens": 17812355.0, + "step": 8135 + }, + { + "entropy": 6.288567733764649, + "epoch": 8.687666844634277, + "grad_norm": 1.2890625, + "learning_rate": 7.327224144691255e-05, + "loss": 5.4559, + "mean_token_accuracy": 0.18972910493612288, + "num_tokens": 17822986.0, + "step": 8140 + }, + { + "entropy": 6.30386004447937, + "epoch": 8.693005872931126, + "grad_norm": 1.3828125, + "learning_rate": 7.30853535444444e-05, + "loss": 5.3695, + "mean_token_accuracy": 0.19032205194234847, + "num_tokens": 17833656.0, + "step": 8145 + }, + { + "entropy": 6.334438371658325, + "epoch": 8.698344901227976, + "grad_norm": 1.1484375, + "learning_rate": 7.289917848662582e-05, + "loss": 5.4056, + "mean_token_accuracy": 0.19864920377731324, + "num_tokens": 17844124.0, + "step": 8150 + }, + { + "entropy": 6.333331680297851, + "epoch": 8.703683929524827, + "grad_norm": 1.3046875, + "learning_rate": 7.271371693073408e-05, + "loss": 5.3834, + "mean_token_accuracy": 0.19299320131540298, + "num_tokens": 17853528.0, + "step": 8155 + }, + { + "entropy": 6.215679454803467, + "epoch": 8.709022957821677, + "grad_norm": 1.25, + "learning_rate": 7.252896953152744e-05, + "loss": 5.3577, + "mean_token_accuracy": 0.1953199803829193, + "num_tokens": 17864599.0, + "step": 8160 + }, + { + "entropy": 6.3130731105804445, + "epoch": 8.714361986118526, + "grad_norm": 1.1875, + "learning_rate": 7.23449369412428e-05, + "loss": 5.4122, + "mean_token_accuracy": 0.19741948544979096, + "num_tokens": 17874829.0, + "step": 8165 + }, + { + "entropy": 6.300188207626343, + "epoch": 8.719701014415376, + "grad_norm": 1.265625, + "learning_rate": 7.216161980959363e-05, + "loss": 5.3857, + "mean_token_accuracy": 0.19758072048425673, + "num_tokens": 17884914.0, + "step": 8170 + }, + { + "entropy": 6.2661253929138185, + "epoch": 8.725040042712227, + "grad_norm": 1.2578125, + "learning_rate": 7.197901878376732e-05, + "loss": 5.3757, + "mean_token_accuracy": 0.1984149172902107, + "num_tokens": 17896156.0, + "step": 8175 + }, + { + "entropy": 6.25427360534668, + "epoch": 8.730379071009077, + "grad_norm": 1.265625, + "learning_rate": 7.179713450842338e-05, + "loss": 5.4116, + "mean_token_accuracy": 0.18684110045433044, + "num_tokens": 17906446.0, + "step": 8180 + }, + { + "entropy": 6.279653835296631, + "epoch": 8.735718099305926, + "grad_norm": 1.125, + "learning_rate": 7.161596762569051e-05, + "loss": 5.4131, + "mean_token_accuracy": 0.18811364769935607, + "num_tokens": 17918488.0, + "step": 8185 + }, + { + "entropy": 6.2619095802307125, + "epoch": 8.741057127602776, + "grad_norm": 1.296875, + "learning_rate": 7.143551877516509e-05, + "loss": 5.415, + "mean_token_accuracy": 0.19475423395633698, + "num_tokens": 17928486.0, + "step": 8190 + }, + { + "entropy": 6.161016273498535, + "epoch": 8.746396155899626, + "grad_norm": 1.21875, + "learning_rate": 7.125578859390828e-05, + "loss": 5.3103, + "mean_token_accuracy": 0.2026986762881279, + "num_tokens": 17939036.0, + "step": 8195 + }, + { + "entropy": 6.322266101837158, + "epoch": 8.751735184196477, + "grad_norm": 1.25, + "learning_rate": 7.107677771644419e-05, + "loss": 5.4278, + "mean_token_accuracy": 0.19225548058748246, + "num_tokens": 17949610.0, + "step": 8200 + }, + { + "entropy": 6.283733224868774, + "epoch": 8.757074212493325, + "grad_norm": 1.265625, + "learning_rate": 7.089848677475735e-05, + "loss": 5.3987, + "mean_token_accuracy": 0.19772477447986603, + "num_tokens": 17960110.0, + "step": 8205 + }, + { + "entropy": 6.319091415405273, + "epoch": 8.762413240790176, + "grad_norm": 1.328125, + "learning_rate": 7.072091639829079e-05, + "loss": 5.4614, + "mean_token_accuracy": 0.18673837184906006, + "num_tokens": 17970293.0, + "step": 8210 + }, + { + "entropy": 6.276460742950439, + "epoch": 8.767752269087026, + "grad_norm": 1.34375, + "learning_rate": 7.054406721394338e-05, + "loss": 5.4007, + "mean_token_accuracy": 0.19787448197603225, + "num_tokens": 17981615.0, + "step": 8215 + }, + { + "entropy": 6.209004163742065, + "epoch": 8.773091297383877, + "grad_norm": 1.328125, + "learning_rate": 7.036793984606808e-05, + "loss": 5.2191, + "mean_token_accuracy": 0.20935241430997847, + "num_tokens": 17992083.0, + "step": 8220 + }, + { + "entropy": 6.287459468841552, + "epoch": 8.778430325680727, + "grad_norm": 1.2421875, + "learning_rate": 7.019253491646954e-05, + "loss": 5.4236, + "mean_token_accuracy": 0.1912770926952362, + "num_tokens": 18003374.0, + "step": 8225 + }, + { + "entropy": 6.320337247848511, + "epoch": 8.783769353977576, + "grad_norm": 1.109375, + "learning_rate": 7.001785304440168e-05, + "loss": 5.4061, + "mean_token_accuracy": 0.19370096325874328, + "num_tokens": 18015450.0, + "step": 8230 + }, + { + "entropy": 6.319497776031494, + "epoch": 8.789108382274426, + "grad_norm": 1.15625, + "learning_rate": 6.9843894846566e-05, + "loss": 5.4613, + "mean_token_accuracy": 0.19284655153751373, + "num_tokens": 18026387.0, + "step": 8235 + }, + { + "entropy": 6.297713279724121, + "epoch": 8.794447410571276, + "grad_norm": 1.1328125, + "learning_rate": 6.967066093710892e-05, + "loss": 5.543, + "mean_token_accuracy": 0.18906300365924836, + "num_tokens": 18038387.0, + "step": 8240 + }, + { + "entropy": 6.267315292358399, + "epoch": 8.799786438868125, + "grad_norm": 1.2421875, + "learning_rate": 6.949815192761993e-05, + "loss": 5.3562, + "mean_token_accuracy": 0.19610127210617065, + "num_tokens": 18048957.0, + "step": 8245 + }, + { + "entropy": 6.1813019752502445, + "epoch": 8.805125467164975, + "grad_norm": 1.34375, + "learning_rate": 6.932636842712914e-05, + "loss": 5.33, + "mean_token_accuracy": 0.2018466502428055, + "num_tokens": 18059750.0, + "step": 8250 + }, + { + "entropy": 6.306232166290283, + "epoch": 8.810464495461826, + "grad_norm": 1.25, + "learning_rate": 6.915531104210554e-05, + "loss": 5.4618, + "mean_token_accuracy": 0.18518505543470382, + "num_tokens": 18070321.0, + "step": 8255 + }, + { + "entropy": 6.278579187393189, + "epoch": 8.815803523758676, + "grad_norm": 1.09375, + "learning_rate": 6.898498037645451e-05, + "loss": 5.4655, + "mean_token_accuracy": 0.18751134872436523, + "num_tokens": 18082322.0, + "step": 8260 + }, + { + "entropy": 6.325710391998291, + "epoch": 8.821142552055527, + "grad_norm": 1.171875, + "learning_rate": 6.881537703151575e-05, + "loss": 5.3813, + "mean_token_accuracy": 0.1982166588306427, + "num_tokens": 18093379.0, + "step": 8265 + }, + { + "entropy": 6.189786672592163, + "epoch": 8.826481580352375, + "grad_norm": 1.25, + "learning_rate": 6.864650160606131e-05, + "loss": 5.2825, + "mean_token_accuracy": 0.20476205050945281, + "num_tokens": 18105365.0, + "step": 8270 + }, + { + "entropy": 6.2697841167449955, + "epoch": 8.831820608649226, + "grad_norm": 1.21875, + "learning_rate": 6.847835469629332e-05, + "loss": 5.3277, + "mean_token_accuracy": 0.2016316384077072, + "num_tokens": 18116058.0, + "step": 8275 + }, + { + "entropy": 6.314205932617187, + "epoch": 8.837159636946076, + "grad_norm": 1.265625, + "learning_rate": 6.831093689584193e-05, + "loss": 5.4293, + "mean_token_accuracy": 0.19054114669561387, + "num_tokens": 18126771.0, + "step": 8280 + }, + { + "entropy": 6.288633871078491, + "epoch": 8.842498665242926, + "grad_norm": 1.2421875, + "learning_rate": 6.814424879576321e-05, + "loss": 5.423, + "mean_token_accuracy": 0.19208714216947556, + "num_tokens": 18137384.0, + "step": 8285 + }, + { + "entropy": 6.259862089157105, + "epoch": 8.847837693539775, + "grad_norm": 1.203125, + "learning_rate": 6.797829098453717e-05, + "loss": 5.4301, + "mean_token_accuracy": 0.19221352338790892, + "num_tokens": 18148230.0, + "step": 8290 + }, + { + "entropy": 6.305414438247681, + "epoch": 8.853176721836626, + "grad_norm": 1.2109375, + "learning_rate": 6.781306404806544e-05, + "loss": 5.5183, + "mean_token_accuracy": 0.18625222146511078, + "num_tokens": 18159184.0, + "step": 8295 + }, + { + "entropy": 6.286434888839722, + "epoch": 8.858515750133476, + "grad_norm": 1.15625, + "learning_rate": 6.764856856966952e-05, + "loss": 5.416, + "mean_token_accuracy": 0.1962931737303734, + "num_tokens": 18170336.0, + "step": 8300 + }, + { + "entropy": 6.335140943527222, + "epoch": 8.863854778430326, + "grad_norm": 1.265625, + "learning_rate": 6.748480513008843e-05, + "loss": 5.4185, + "mean_token_accuracy": 0.19309814125299454, + "num_tokens": 18181428.0, + "step": 8305 + }, + { + "entropy": 6.326192474365234, + "epoch": 8.869193806727175, + "grad_norm": 1.203125, + "learning_rate": 6.732177430747685e-05, + "loss": 5.4468, + "mean_token_accuracy": 0.19147571921348572, + "num_tokens": 18192452.0, + "step": 8310 + }, + { + "entropy": 6.315118980407715, + "epoch": 8.874532835024025, + "grad_norm": 1.21875, + "learning_rate": 6.715947667740298e-05, + "loss": 5.4147, + "mean_token_accuracy": 0.19402022659778595, + "num_tokens": 18203374.0, + "step": 8315 + }, + { + "entropy": 6.273036479949951, + "epoch": 8.879871863320876, + "grad_norm": 1.1875, + "learning_rate": 6.699791281284645e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.19211985021829606, + "num_tokens": 18214420.0, + "step": 8320 + }, + { + "entropy": 6.283283376693726, + "epoch": 8.885210891617726, + "grad_norm": 1.1875, + "learning_rate": 6.68370832841966e-05, + "loss": 5.4441, + "mean_token_accuracy": 0.1880252718925476, + "num_tokens": 18226176.0, + "step": 8325 + }, + { + "entropy": 6.352131271362305, + "epoch": 8.890549919914575, + "grad_norm": 1.3125, + "learning_rate": 6.667698865924998e-05, + "loss": 5.4257, + "mean_token_accuracy": 0.19260345548391342, + "num_tokens": 18236792.0, + "step": 8330 + }, + { + "entropy": 6.2733378410339355, + "epoch": 8.895888948211425, + "grad_norm": 1.1796875, + "learning_rate": 6.651762950320893e-05, + "loss": 5.4312, + "mean_token_accuracy": 0.19283699989318848, + "num_tokens": 18248047.0, + "step": 8335 + }, + { + "entropy": 6.2758337497711185, + "epoch": 8.901227976508276, + "grad_norm": 1.1328125, + "learning_rate": 6.635900637867902e-05, + "loss": 5.376, + "mean_token_accuracy": 0.2016781061887741, + "num_tokens": 18258093.0, + "step": 8340 + }, + { + "entropy": 6.266999101638794, + "epoch": 8.906567004805126, + "grad_norm": 1.3515625, + "learning_rate": 6.620111984566739e-05, + "loss": 5.3901, + "mean_token_accuracy": 0.19536768645048141, + "num_tokens": 18268649.0, + "step": 8345 + }, + { + "entropy": 6.2864086627960205, + "epoch": 8.911906033101975, + "grad_norm": 1.1796875, + "learning_rate": 6.604397046158066e-05, + "loss": 5.3957, + "mean_token_accuracy": 0.19759741872549058, + "num_tokens": 18278127.0, + "step": 8350 + }, + { + "entropy": 6.262919664382935, + "epoch": 8.917245061398825, + "grad_norm": 1.21875, + "learning_rate": 6.588755878122318e-05, + "loss": 5.3978, + "mean_token_accuracy": 0.19958573281764985, + "num_tokens": 18289288.0, + "step": 8355 + }, + { + "entropy": 6.278789710998535, + "epoch": 8.922584089695675, + "grad_norm": 1.109375, + "learning_rate": 6.573188535679464e-05, + "loss": 5.3924, + "mean_token_accuracy": 0.19610107094049453, + "num_tokens": 18299482.0, + "step": 8360 + }, + { + "entropy": 6.237138795852661, + "epoch": 8.927923117992526, + "grad_norm": 1.2421875, + "learning_rate": 6.557695073788853e-05, + "loss": 5.2958, + "mean_token_accuracy": 0.20035430788993835, + "num_tokens": 18309499.0, + "step": 8365 + }, + { + "entropy": 6.274085283279419, + "epoch": 8.933262146289376, + "grad_norm": 1.1796875, + "learning_rate": 6.542275547149005e-05, + "loss": 5.3748, + "mean_token_accuracy": 0.19981057792901993, + "num_tokens": 18320106.0, + "step": 8370 + }, + { + "entropy": 6.286875486373901, + "epoch": 8.938601174586225, + "grad_norm": 1.203125, + "learning_rate": 6.526930010197412e-05, + "loss": 5.4601, + "mean_token_accuracy": 0.1885668605566025, + "num_tokens": 18331657.0, + "step": 8375 + }, + { + "entropy": 6.303912401199341, + "epoch": 8.943940202883075, + "grad_norm": 1.1875, + "learning_rate": 6.511658517110346e-05, + "loss": 5.5049, + "mean_token_accuracy": 0.18762866109609605, + "num_tokens": 18342951.0, + "step": 8380 + }, + { + "entropy": 6.258378219604492, + "epoch": 8.949279231179926, + "grad_norm": 1.3203125, + "learning_rate": 6.496461121802679e-05, + "loss": 5.3829, + "mean_token_accuracy": 0.1956523537635803, + "num_tokens": 18353515.0, + "step": 8385 + }, + { + "entropy": 6.277213478088379, + "epoch": 8.954618259476776, + "grad_norm": 1.2890625, + "learning_rate": 6.48133787792769e-05, + "loss": 5.4382, + "mean_token_accuracy": 0.19595738202333451, + "num_tokens": 18365139.0, + "step": 8390 + }, + { + "entropy": 6.267573308944702, + "epoch": 8.959957287773625, + "grad_norm": 1.1328125, + "learning_rate": 6.46628883887686e-05, + "loss": 5.4344, + "mean_token_accuracy": 0.19399414509534835, + "num_tokens": 18376426.0, + "step": 8395 + }, + { + "entropy": 6.318247222900391, + "epoch": 8.965296316070475, + "grad_norm": 1.0546875, + "learning_rate": 6.451314057779708e-05, + "loss": 5.4031, + "mean_token_accuracy": 0.1949224889278412, + "num_tokens": 18387643.0, + "step": 8400 + }, + { + "entropy": 6.2453080177307125, + "epoch": 8.970635344367325, + "grad_norm": 1.34375, + "learning_rate": 6.436413587503588e-05, + "loss": 5.3801, + "mean_token_accuracy": 0.19522539228200914, + "num_tokens": 18397625.0, + "step": 8405 + }, + { + "entropy": 6.24573826789856, + "epoch": 8.975974372664176, + "grad_norm": 1.125, + "learning_rate": 6.421587480653497e-05, + "loss": 5.4012, + "mean_token_accuracy": 0.19939807951450347, + "num_tokens": 18410033.0, + "step": 8410 + }, + { + "entropy": 6.2669624328613285, + "epoch": 8.981313400961024, + "grad_norm": 1.140625, + "learning_rate": 6.406835789571905e-05, + "loss": 5.3825, + "mean_token_accuracy": 0.19407907128334045, + "num_tokens": 18421020.0, + "step": 8415 + }, + { + "entropy": 6.294377422332763, + "epoch": 8.986652429257875, + "grad_norm": 1.0703125, + "learning_rate": 6.392158566338561e-05, + "loss": 5.4217, + "mean_token_accuracy": 0.19481519758701324, + "num_tokens": 18432884.0, + "step": 8420 + }, + { + "entropy": 6.332372999191284, + "epoch": 8.991991457554725, + "grad_norm": 1.1640625, + "learning_rate": 6.377555862770311e-05, + "loss": 5.4752, + "mean_token_accuracy": 0.17780984342098236, + "num_tokens": 18443478.0, + "step": 8425 + }, + { + "entropy": 6.326786518096924, + "epoch": 8.997330485851576, + "grad_norm": 1.1953125, + "learning_rate": 6.363027730420915e-05, + "loss": 5.4363, + "mean_token_accuracy": 0.19262375235557555, + "num_tokens": 18453943.0, + "step": 8430 + }, + { + "entropy": 6.3219667010837135, + "epoch": 9.00213561131874, + "grad_norm": 1.1171875, + "learning_rate": 6.348574220580863e-05, + "loss": 5.3917, + "mean_token_accuracy": 0.19410793317688835, + "num_tokens": 18464880.0, + "step": 8435 + }, + { + "entropy": 6.291064596176147, + "epoch": 9.00747463961559, + "grad_norm": 1.109375, + "learning_rate": 6.334195384277198e-05, + "loss": 5.3365, + "mean_token_accuracy": 0.19902778118848802, + "num_tokens": 18475884.0, + "step": 8440 + }, + { + "entropy": 6.322910499572754, + "epoch": 9.01281366791244, + "grad_norm": 1.328125, + "learning_rate": 6.319891272273333e-05, + "loss": 5.397, + "mean_token_accuracy": 0.19973329156637193, + "num_tokens": 18486900.0, + "step": 8445 + }, + { + "entropy": 6.2828192710876465, + "epoch": 9.01815269620929, + "grad_norm": 1.265625, + "learning_rate": 6.30566193506887e-05, + "loss": 5.3897, + "mean_token_accuracy": 0.1961638391017914, + "num_tokens": 18497070.0, + "step": 8450 + }, + { + "entropy": 6.302260255813598, + "epoch": 9.02349172450614, + "grad_norm": 1.1640625, + "learning_rate": 6.291507422899425e-05, + "loss": 5.4474, + "mean_token_accuracy": 0.19043018370866777, + "num_tokens": 18508778.0, + "step": 8455 + }, + { + "entropy": 6.300608444213867, + "epoch": 9.028830752802989, + "grad_norm": 1.1953125, + "learning_rate": 6.277427785736455e-05, + "loss": 5.4072, + "mean_token_accuracy": 0.1943545952439308, + "num_tokens": 18521076.0, + "step": 8460 + }, + { + "entropy": 6.291013383865357, + "epoch": 9.03416978109984, + "grad_norm": 1.2109375, + "learning_rate": 6.26342307328707e-05, + "loss": 5.3299, + "mean_token_accuracy": 0.19972898364067077, + "num_tokens": 18532582.0, + "step": 8465 + }, + { + "entropy": 6.308874654769897, + "epoch": 9.03950880939669, + "grad_norm": 1.25, + "learning_rate": 6.249493334993873e-05, + "loss": 5.3802, + "mean_token_accuracy": 0.19778040051460266, + "num_tokens": 18543263.0, + "step": 8470 + }, + { + "entropy": 6.294857692718506, + "epoch": 9.04484783769354, + "grad_norm": 1.375, + "learning_rate": 6.235638620034756e-05, + "loss": 5.4241, + "mean_token_accuracy": 0.1885809302330017, + "num_tokens": 18554367.0, + "step": 8475 + }, + { + "entropy": 6.267254829406738, + "epoch": 9.05018686599039, + "grad_norm": 1.2421875, + "learning_rate": 6.221858977322774e-05, + "loss": 5.352, + "mean_token_accuracy": 0.20446752309799193, + "num_tokens": 18565075.0, + "step": 8480 + }, + { + "entropy": 6.256584358215332, + "epoch": 9.05552589428724, + "grad_norm": 1.203125, + "learning_rate": 6.208154455505918e-05, + "loss": 5.3011, + "mean_token_accuracy": 0.20374154597520827, + "num_tokens": 18575166.0, + "step": 8485 + }, + { + "entropy": 6.303496646881103, + "epoch": 9.06086492258409, + "grad_norm": 1.125, + "learning_rate": 6.194525102966997e-05, + "loss": 5.4337, + "mean_token_accuracy": 0.19414404034614563, + "num_tokens": 18586975.0, + "step": 8490 + }, + { + "entropy": 6.254971933364868, + "epoch": 9.06620395088094, + "grad_norm": 1.1953125, + "learning_rate": 6.180970967823415e-05, + "loss": 5.2621, + "mean_token_accuracy": 0.21001349538564681, + "num_tokens": 18598524.0, + "step": 8495 + }, + { + "entropy": 6.264356327056885, + "epoch": 9.07154297917779, + "grad_norm": 1.203125, + "learning_rate": 6.167492097927051e-05, + "loss": 5.3619, + "mean_token_accuracy": 0.19953151643276215, + "num_tokens": 18609099.0, + "step": 8500 + }, + { + "epoch": 9.07154297917779, + "eval_entropy": 6.114785921418822, + "eval_loss": 6.549992561340332, + "eval_mean_token_accuracy": 0.13512441571076195, + "eval_num_tokens": 18609099.0, + "eval_runtime": 1.8163, + "eval_samples_per_second": 1695.776, + "eval_steps_per_second": 211.972, + "step": 8500 + }, + { + "entropy": 6.229560041427613, + "epoch": 9.076882007474639, + "grad_norm": 1.328125, + "learning_rate": 6.154088540864045e-05, + "loss": 5.338, + "mean_token_accuracy": 0.19794839322566987, + "num_tokens": 18619901.0, + "step": 8505 + }, + { + "entropy": 6.291391324996948, + "epoch": 9.08222103577149, + "grad_norm": 1.484375, + "learning_rate": 6.140760343954654e-05, + "loss": 5.3933, + "mean_token_accuracy": 0.2033597096800804, + "num_tokens": 18629556.0, + "step": 8510 + }, + { + "entropy": 6.246613550186157, + "epoch": 9.08756006406834, + "grad_norm": 1.15625, + "learning_rate": 6.127507554253101e-05, + "loss": 5.3003, + "mean_token_accuracy": 0.20000605434179305, + "num_tokens": 18640487.0, + "step": 8515 + }, + { + "entropy": 6.2668591976165775, + "epoch": 9.09289909236519, + "grad_norm": 1.0625, + "learning_rate": 6.11433021854736e-05, + "loss": 5.4005, + "mean_token_accuracy": 0.19509114921092988, + "num_tokens": 18651828.0, + "step": 8520 + }, + { + "entropy": 6.2748137474060055, + "epoch": 9.098238120662039, + "grad_norm": 1.2578125, + "learning_rate": 6.1012283833590465e-05, + "loss": 5.4124, + "mean_token_accuracy": 0.19893601536750793, + "num_tokens": 18662673.0, + "step": 8525 + }, + { + "entropy": 6.260831069946289, + "epoch": 9.10357714895889, + "grad_norm": 1.265625, + "learning_rate": 6.088202094943207e-05, + "loss": 5.4026, + "mean_token_accuracy": 0.19352519661188125, + "num_tokens": 18672345.0, + "step": 8530 + }, + { + "entropy": 6.315216684341431, + "epoch": 9.10891617725574, + "grad_norm": 1.1796875, + "learning_rate": 6.075251399288193e-05, + "loss": 5.4823, + "mean_token_accuracy": 0.1841621220111847, + "num_tokens": 18684514.0, + "step": 8535 + }, + { + "entropy": 6.250639724731445, + "epoch": 9.11425520555259, + "grad_norm": 1.2109375, + "learning_rate": 6.062376342115465e-05, + "loss": 5.3459, + "mean_token_accuracy": 0.20057544261217117, + "num_tokens": 18694986.0, + "step": 8540 + }, + { + "entropy": 6.322076272964478, + "epoch": 9.119594233849439, + "grad_norm": 1.0703125, + "learning_rate": 6.049576968879459e-05, + "loss": 5.4228, + "mean_token_accuracy": 0.19311343878507614, + "num_tokens": 18706585.0, + "step": 8545 + }, + { + "entropy": 6.305493640899658, + "epoch": 9.124933262146289, + "grad_norm": 1.171875, + "learning_rate": 6.0368533247674074e-05, + "loss": 5.4126, + "mean_token_accuracy": 0.19299951195716858, + "num_tokens": 18717745.0, + "step": 8550 + }, + { + "entropy": 6.256345796585083, + "epoch": 9.13027229044314, + "grad_norm": 1.21875, + "learning_rate": 6.0242054546991954e-05, + "loss": 5.3487, + "mean_token_accuracy": 0.20222388803958893, + "num_tokens": 18727875.0, + "step": 8555 + }, + { + "entropy": 6.275346279144287, + "epoch": 9.13561131873999, + "grad_norm": 1.2109375, + "learning_rate": 6.0116334033271826e-05, + "loss": 5.3777, + "mean_token_accuracy": 0.19150869846343993, + "num_tokens": 18738290.0, + "step": 8560 + }, + { + "entropy": 6.28104887008667, + "epoch": 9.140950347036839, + "grad_norm": 1.203125, + "learning_rate": 5.999137215036063e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.19925588071346284, + "num_tokens": 18749462.0, + "step": 8565 + }, + { + "entropy": 6.292618322372436, + "epoch": 9.146289375333689, + "grad_norm": 1.296875, + "learning_rate": 5.9867169339427105e-05, + "loss": 5.3386, + "mean_token_accuracy": 0.19864167869091034, + "num_tokens": 18759999.0, + "step": 8570 + }, + { + "entropy": 6.2744917392730715, + "epoch": 9.15162840363054, + "grad_norm": 1.2109375, + "learning_rate": 5.974372603895989e-05, + "loss": 5.3664, + "mean_token_accuracy": 0.20330148190259933, + "num_tokens": 18771421.0, + "step": 8575 + }, + { + "entropy": 6.231125020980835, + "epoch": 9.15696743192739, + "grad_norm": 1.2734375, + "learning_rate": 5.962104268476648e-05, + "loss": 5.3475, + "mean_token_accuracy": 0.19947514533996583, + "num_tokens": 18781423.0, + "step": 8580 + }, + { + "entropy": 6.301869916915893, + "epoch": 9.162306460224238, + "grad_norm": 1.3984375, + "learning_rate": 5.9499119709971266e-05, + "loss": 5.3937, + "mean_token_accuracy": 0.19459829330444336, + "num_tokens": 18790824.0, + "step": 8585 + }, + { + "entropy": 6.3307005882263185, + "epoch": 9.167645488521089, + "grad_norm": 1.328125, + "learning_rate": 5.937795754501431e-05, + "loss": 5.4154, + "mean_token_accuracy": 0.1953270897269249, + "num_tokens": 18801694.0, + "step": 8590 + }, + { + "entropy": 6.30227746963501, + "epoch": 9.17298451681794, + "grad_norm": 1.4765625, + "learning_rate": 5.9257556617649594e-05, + "loss": 5.3517, + "mean_token_accuracy": 0.1940465450286865, + "num_tokens": 18812180.0, + "step": 8595 + }, + { + "entropy": 6.290414094924927, + "epoch": 9.17832354511479, + "grad_norm": 1.421875, + "learning_rate": 5.913791735294367e-05, + "loss": 5.4369, + "mean_token_accuracy": 0.19648680686950684, + "num_tokens": 18823764.0, + "step": 8600 + }, + { + "entropy": 6.329561948776245, + "epoch": 9.18366257341164, + "grad_norm": 1.2578125, + "learning_rate": 5.901904017327404e-05, + "loss": 5.3981, + "mean_token_accuracy": 0.19430489838123322, + "num_tokens": 18834592.0, + "step": 8605 + }, + { + "entropy": 6.305727863311768, + "epoch": 9.189001601708489, + "grad_norm": 1.296875, + "learning_rate": 5.890092549832776e-05, + "loss": 5.3353, + "mean_token_accuracy": 0.19843092262744905, + "num_tokens": 18844714.0, + "step": 8610 + }, + { + "entropy": 6.302178955078125, + "epoch": 9.194340630005339, + "grad_norm": 1.234375, + "learning_rate": 5.8783573745099895e-05, + "loss": 5.3965, + "mean_token_accuracy": 0.18645181506872177, + "num_tokens": 18856680.0, + "step": 8615 + }, + { + "entropy": 6.312046670913697, + "epoch": 9.19967965830219, + "grad_norm": 1.2734375, + "learning_rate": 5.8666985327892103e-05, + "loss": 5.4183, + "mean_token_accuracy": 0.1923958107829094, + "num_tokens": 18867146.0, + "step": 8620 + }, + { + "entropy": 6.18888897895813, + "epoch": 9.20501868659904, + "grad_norm": 1.3203125, + "learning_rate": 5.855116065831115e-05, + "loss": 5.2823, + "mean_token_accuracy": 0.20159239172935486, + "num_tokens": 18878678.0, + "step": 8625 + }, + { + "entropy": 6.295993375778198, + "epoch": 9.210357714895888, + "grad_norm": 1.2578125, + "learning_rate": 5.8436100145267365e-05, + "loss": 5.3848, + "mean_token_accuracy": 0.19432373344898224, + "num_tokens": 18889431.0, + "step": 8630 + }, + { + "entropy": 6.289379692077636, + "epoch": 9.215696743192739, + "grad_norm": 1.2734375, + "learning_rate": 5.83218041949734e-05, + "loss": 5.3944, + "mean_token_accuracy": 0.19059503376483916, + "num_tokens": 18899860.0, + "step": 8635 + }, + { + "entropy": 6.275321006774902, + "epoch": 9.22103577148959, + "grad_norm": 1.1953125, + "learning_rate": 5.820827321094254e-05, + "loss": 5.3884, + "mean_token_accuracy": 0.18925346434116364, + "num_tokens": 18910589.0, + "step": 8640 + }, + { + "entropy": 6.344746208190918, + "epoch": 9.22637479978644, + "grad_norm": 1.15625, + "learning_rate": 5.8095507593987545e-05, + "loss": 5.4378, + "mean_token_accuracy": 0.19206939339637757, + "num_tokens": 18921145.0, + "step": 8645 + }, + { + "entropy": 6.2736283302307125, + "epoch": 9.231713828083288, + "grad_norm": 1.2890625, + "learning_rate": 5.798350774221899e-05, + "loss": 5.3704, + "mean_token_accuracy": 0.19876059740781785, + "num_tokens": 18932600.0, + "step": 8650 + }, + { + "entropy": 6.267943048477173, + "epoch": 9.237052856380139, + "grad_norm": 1.171875, + "learning_rate": 5.78722740510441e-05, + "loss": 5.3859, + "mean_token_accuracy": 0.1947265863418579, + "num_tokens": 18944712.0, + "step": 8655 + }, + { + "entropy": 6.2824924945831295, + "epoch": 9.242391884676989, + "grad_norm": 1.140625, + "learning_rate": 5.776180691316505e-05, + "loss": 5.405, + "mean_token_accuracy": 0.19813400655984878, + "num_tokens": 18956462.0, + "step": 8660 + }, + { + "entropy": 6.27752366065979, + "epoch": 9.24773091297384, + "grad_norm": 1.34375, + "learning_rate": 5.765210671857795e-05, + "loss": 5.3838, + "mean_token_accuracy": 0.19867743998765947, + "num_tokens": 18967882.0, + "step": 8665 + }, + { + "entropy": 6.274408292770386, + "epoch": 9.253069941270688, + "grad_norm": 1.1796875, + "learning_rate": 5.7543173854571176e-05, + "loss": 5.3646, + "mean_token_accuracy": 0.19525448232889175, + "num_tokens": 18978797.0, + "step": 8670 + }, + { + "entropy": 6.322760105133057, + "epoch": 9.258408969567538, + "grad_norm": 1.125, + "learning_rate": 5.743500870572404e-05, + "loss": 5.3745, + "mean_token_accuracy": 0.1901499330997467, + "num_tokens": 18989506.0, + "step": 8675 + }, + { + "entropy": 6.30593957901001, + "epoch": 9.263747997864389, + "grad_norm": 1.234375, + "learning_rate": 5.732761165390562e-05, + "loss": 5.4193, + "mean_token_accuracy": 0.1921993911266327, + "num_tokens": 19000072.0, + "step": 8680 + }, + { + "entropy": 6.322987842559814, + "epoch": 9.26908702616124, + "grad_norm": 1.1328125, + "learning_rate": 5.7220983078273176e-05, + "loss": 5.4454, + "mean_token_accuracy": 0.2010173797607422, + "num_tokens": 19010656.0, + "step": 8685 + }, + { + "entropy": 6.306516361236572, + "epoch": 9.274426054458088, + "grad_norm": 1.359375, + "learning_rate": 5.7115123355270996e-05, + "loss": 5.3828, + "mean_token_accuracy": 0.19560512900352478, + "num_tokens": 19021811.0, + "step": 8690 + }, + { + "entropy": 6.246599578857422, + "epoch": 9.279765082754938, + "grad_norm": 1.1875, + "learning_rate": 5.701003285862898e-05, + "loss": 5.3498, + "mean_token_accuracy": 0.1951931819319725, + "num_tokens": 19032673.0, + "step": 8695 + }, + { + "entropy": 6.254972982406616, + "epoch": 9.285104111051789, + "grad_norm": 1.2421875, + "learning_rate": 5.690571195936129e-05, + "loss": 5.294, + "mean_token_accuracy": 0.20297341346740722, + "num_tokens": 19043421.0, + "step": 8700 + }, + { + "entropy": 6.254808473587036, + "epoch": 9.290443139348639, + "grad_norm": 1.3046875, + "learning_rate": 5.6802161025765126e-05, + "loss": 5.3124, + "mean_token_accuracy": 0.20978861898183823, + "num_tokens": 19053972.0, + "step": 8705 + }, + { + "entropy": 6.257140016555786, + "epoch": 9.295782167645488, + "grad_norm": 1.125, + "learning_rate": 5.6699380423419315e-05, + "loss": 5.3941, + "mean_token_accuracy": 0.19529064148664474, + "num_tokens": 19064996.0, + "step": 8710 + }, + { + "entropy": 6.293576097488403, + "epoch": 9.301121195942338, + "grad_norm": 1.28125, + "learning_rate": 5.659737051518319e-05, + "loss": 5.405, + "mean_token_accuracy": 0.19285243451595308, + "num_tokens": 19077163.0, + "step": 8715 + }, + { + "entropy": 6.281959867477417, + "epoch": 9.306460224239189, + "grad_norm": 1.3515625, + "learning_rate": 5.649613166119512e-05, + "loss": 5.3772, + "mean_token_accuracy": 0.19006721973419188, + "num_tokens": 19087616.0, + "step": 8720 + }, + { + "entropy": 6.308144426345825, + "epoch": 9.311799252536039, + "grad_norm": 1.0625, + "learning_rate": 5.639566421887136e-05, + "loss": 5.4082, + "mean_token_accuracy": 0.1936774879693985, + "num_tokens": 19100267.0, + "step": 8725 + }, + { + "entropy": 6.217197275161743, + "epoch": 9.31713828083289, + "grad_norm": 1.2890625, + "learning_rate": 5.6295968542904734e-05, + "loss": 5.2625, + "mean_token_accuracy": 0.21082474589347838, + "num_tokens": 19109969.0, + "step": 8730 + }, + { + "entropy": 6.270903539657593, + "epoch": 9.322477309129738, + "grad_norm": 1.09375, + "learning_rate": 5.619704498526345e-05, + "loss": 5.3542, + "mean_token_accuracy": 0.19501845836639403, + "num_tokens": 19121033.0, + "step": 8735 + }, + { + "entropy": 6.305626344680786, + "epoch": 9.327816337426588, + "grad_norm": 1.2578125, + "learning_rate": 5.6098893895189704e-05, + "loss": 5.423, + "mean_token_accuracy": 0.19037313908338546, + "num_tokens": 19131451.0, + "step": 8740 + }, + { + "entropy": 6.2973391056060795, + "epoch": 9.333155365723439, + "grad_norm": 1.28125, + "learning_rate": 5.6001515619198706e-05, + "loss": 5.413, + "mean_token_accuracy": 0.19424313753843309, + "num_tokens": 19142187.0, + "step": 8745 + }, + { + "entropy": 6.3233716011047365, + "epoch": 9.33849439402029, + "grad_norm": 1.3515625, + "learning_rate": 5.590491050107717e-05, + "loss": 5.4345, + "mean_token_accuracy": 0.19144673198461531, + "num_tokens": 19152401.0, + "step": 8750 + }, + { + "entropy": 6.321363544464111, + "epoch": 9.343833422317138, + "grad_norm": 1.140625, + "learning_rate": 5.580907888188229e-05, + "loss": 5.4545, + "mean_token_accuracy": 0.1866098314523697, + "num_tokens": 19164042.0, + "step": 8755 + }, + { + "entropy": 6.327611064910888, + "epoch": 9.349172450613988, + "grad_norm": 1.2890625, + "learning_rate": 5.571402109994049e-05, + "loss": 5.3791, + "mean_token_accuracy": 0.1929052382707596, + "num_tokens": 19174840.0, + "step": 8760 + }, + { + "entropy": 6.285183763504028, + "epoch": 9.354511478910839, + "grad_norm": 1.2421875, + "learning_rate": 5.5619737490846215e-05, + "loss": 5.4256, + "mean_token_accuracy": 0.18573228418827056, + "num_tokens": 19186553.0, + "step": 8765 + }, + { + "entropy": 6.2528282642364506, + "epoch": 9.359850507207689, + "grad_norm": 1.1484375, + "learning_rate": 5.55262283874607e-05, + "loss": 5.3138, + "mean_token_accuracy": 0.19975178986787795, + "num_tokens": 19198010.0, + "step": 8770 + }, + { + "entropy": 6.268246603012085, + "epoch": 9.365189535504538, + "grad_norm": 1.2578125, + "learning_rate": 5.543349411991089e-05, + "loss": 5.3396, + "mean_token_accuracy": 0.20094972252845764, + "num_tokens": 19207891.0, + "step": 8775 + }, + { + "entropy": 6.258787059783936, + "epoch": 9.370528563801388, + "grad_norm": 1.171875, + "learning_rate": 5.534153501558823e-05, + "loss": 5.38, + "mean_token_accuracy": 0.19716913849115372, + "num_tokens": 19219140.0, + "step": 8780 + }, + { + "entropy": 6.302610540390015, + "epoch": 9.375867592098238, + "grad_norm": 1.2578125, + "learning_rate": 5.5250351399147507e-05, + "loss": 5.3564, + "mean_token_accuracy": 0.19000794887542724, + "num_tokens": 19229642.0, + "step": 8785 + }, + { + "entropy": 6.275329351425171, + "epoch": 9.381206620395089, + "grad_norm": 1.0859375, + "learning_rate": 5.515994359250574e-05, + "loss": 5.4133, + "mean_token_accuracy": 0.19166371673345567, + "num_tokens": 19241184.0, + "step": 8790 + }, + { + "entropy": 6.325571823120117, + "epoch": 9.386545648691937, + "grad_norm": 1.234375, + "learning_rate": 5.507031191484087e-05, + "loss": 5.4533, + "mean_token_accuracy": 0.18626566082239152, + "num_tokens": 19252201.0, + "step": 8795 + }, + { + "entropy": 6.32686185836792, + "epoch": 9.391884676988788, + "grad_norm": 1.375, + "learning_rate": 5.4981456682590955e-05, + "loss": 5.4565, + "mean_token_accuracy": 0.18756528198719025, + "num_tokens": 19261683.0, + "step": 8800 + }, + { + "entropy": 6.2155046463012695, + "epoch": 9.397223705285638, + "grad_norm": 1.2421875, + "learning_rate": 5.489337820945279e-05, + "loss": 5.4225, + "mean_token_accuracy": 0.18866721391677857, + "num_tokens": 19273530.0, + "step": 8805 + }, + { + "entropy": 6.303810548782349, + "epoch": 9.402562733582489, + "grad_norm": 1.265625, + "learning_rate": 5.480607680638082e-05, + "loss": 5.3646, + "mean_token_accuracy": 0.19822666496038438, + "num_tokens": 19283543.0, + "step": 8810 + }, + { + "entropy": 6.266515731811523, + "epoch": 9.407901761879337, + "grad_norm": 1.2265625, + "learning_rate": 5.47195527815862e-05, + "loss": 5.359, + "mean_token_accuracy": 0.1917651429772377, + "num_tokens": 19294399.0, + "step": 8815 + }, + { + "entropy": 6.286578798294068, + "epoch": 9.413240790176188, + "grad_norm": 1.1875, + "learning_rate": 5.4633806440535536e-05, + "loss": 5.3914, + "mean_token_accuracy": 0.1982104390859604, + "num_tokens": 19305971.0, + "step": 8820 + }, + { + "entropy": 6.293573045730591, + "epoch": 9.418579818473038, + "grad_norm": 1.34375, + "learning_rate": 5.454883808594996e-05, + "loss": 5.3873, + "mean_token_accuracy": 0.19418561160564424, + "num_tokens": 19315983.0, + "step": 8825 + }, + { + "entropy": 6.191365814208984, + "epoch": 9.423918846769888, + "grad_norm": 1.2421875, + "learning_rate": 5.446464801780392e-05, + "loss": 5.2988, + "mean_token_accuracy": 0.20409801602363586, + "num_tokens": 19326967.0, + "step": 8830 + }, + { + "entropy": 6.2814757347106935, + "epoch": 9.429257875066737, + "grad_norm": 1.109375, + "learning_rate": 5.438123653332416e-05, + "loss": 5.3361, + "mean_token_accuracy": 0.19910025894641875, + "num_tokens": 19338188.0, + "step": 8835 + }, + { + "entropy": 6.30628547668457, + "epoch": 9.434596903363587, + "grad_norm": 1.2734375, + "learning_rate": 5.42986039269887e-05, + "loss": 5.4314, + "mean_token_accuracy": 0.19197482466697693, + "num_tokens": 19348319.0, + "step": 8840 + }, + { + "entropy": 6.286158275604248, + "epoch": 9.439935931660438, + "grad_norm": 1.1953125, + "learning_rate": 5.4216750490525896e-05, + "loss": 5.3494, + "mean_token_accuracy": 0.1952256977558136, + "num_tokens": 19358764.0, + "step": 8845 + }, + { + "entropy": 6.287650728225708, + "epoch": 9.445274959957288, + "grad_norm": 1.234375, + "learning_rate": 5.413567651291315e-05, + "loss": 5.3961, + "mean_token_accuracy": 0.1935838997364044, + "num_tokens": 19369380.0, + "step": 8850 + }, + { + "entropy": 6.200163459777832, + "epoch": 9.450613988254137, + "grad_norm": 1.015625, + "learning_rate": 5.4055382280376195e-05, + "loss": 5.2627, + "mean_token_accuracy": 0.20308074206113816, + "num_tokens": 19381819.0, + "step": 8855 + }, + { + "entropy": 6.321351432800293, + "epoch": 9.455953016550987, + "grad_norm": 1.328125, + "learning_rate": 5.397586807638774e-05, + "loss": 5.4202, + "mean_token_accuracy": 0.19185348302125932, + "num_tokens": 19391969.0, + "step": 8860 + }, + { + "entropy": 6.30733060836792, + "epoch": 9.461292044847838, + "grad_norm": 1.2421875, + "learning_rate": 5.3897134181666886e-05, + "loss": 5.3968, + "mean_token_accuracy": 0.2015586495399475, + "num_tokens": 19402866.0, + "step": 8865 + }, + { + "entropy": 6.307026195526123, + "epoch": 9.466631073144688, + "grad_norm": 1.296875, + "learning_rate": 5.3819180874177704e-05, + "loss": 5.3862, + "mean_token_accuracy": 0.19666852056980133, + "num_tokens": 19412929.0, + "step": 8870 + }, + { + "entropy": 6.26625394821167, + "epoch": 9.471970101441539, + "grad_norm": 1.203125, + "learning_rate": 5.374200842912858e-05, + "loss": 5.4024, + "mean_token_accuracy": 0.1985020011663437, + "num_tokens": 19424594.0, + "step": 8875 + }, + { + "entropy": 6.25069670677185, + "epoch": 9.477309129738387, + "grad_norm": 1.2265625, + "learning_rate": 5.3665617118971134e-05, + "loss": 5.4028, + "mean_token_accuracy": 0.19581619799137115, + "num_tokens": 19435893.0, + "step": 8880 + }, + { + "entropy": 6.308282089233399, + "epoch": 9.482648158035238, + "grad_norm": 1.1015625, + "learning_rate": 5.359000721339914e-05, + "loss": 5.3733, + "mean_token_accuracy": 0.1967584028840065, + "num_tokens": 19447414.0, + "step": 8885 + }, + { + "entropy": 6.254154205322266, + "epoch": 9.487987186332088, + "grad_norm": 1.0703125, + "learning_rate": 5.3515178979347814e-05, + "loss": 5.401, + "mean_token_accuracy": 0.196736142039299, + "num_tokens": 19458829.0, + "step": 8890 + }, + { + "entropy": 6.310901260375976, + "epoch": 9.493326214628938, + "grad_norm": 1.046875, + "learning_rate": 5.3441132680992656e-05, + "loss": 5.4267, + "mean_token_accuracy": 0.1950685203075409, + "num_tokens": 19471630.0, + "step": 8895 + }, + { + "entropy": 6.291153192520142, + "epoch": 9.498665242925787, + "grad_norm": 1.2890625, + "learning_rate": 5.3367868579748584e-05, + "loss": 5.398, + "mean_token_accuracy": 0.1950012594461441, + "num_tokens": 19481740.0, + "step": 8900 + }, + { + "entropy": 6.238599157333374, + "epoch": 9.504004271222637, + "grad_norm": 1.203125, + "learning_rate": 5.329538693426908e-05, + "loss": 5.2768, + "mean_token_accuracy": 0.20877552032470703, + "num_tokens": 19492165.0, + "step": 8905 + }, + { + "entropy": 6.301410770416259, + "epoch": 9.509343299519488, + "grad_norm": 1.296875, + "learning_rate": 5.32236880004452e-05, + "loss": 5.3947, + "mean_token_accuracy": 0.19929478764533998, + "num_tokens": 19502303.0, + "step": 8910 + }, + { + "entropy": 6.261133909225464, + "epoch": 9.514682327816338, + "grad_norm": 1.2109375, + "learning_rate": 5.315277203140473e-05, + "loss": 5.3188, + "mean_token_accuracy": 0.2059570699930191, + "num_tokens": 19513124.0, + "step": 8915 + }, + { + "entropy": 6.27139687538147, + "epoch": 9.520021356113187, + "grad_norm": 1.28125, + "learning_rate": 5.308263927751119e-05, + "loss": 5.3821, + "mean_token_accuracy": 0.19859732836484909, + "num_tokens": 19523896.0, + "step": 8920 + }, + { + "entropy": 6.256344938278199, + "epoch": 9.525360384410037, + "grad_norm": 1.1171875, + "learning_rate": 5.3013289986363083e-05, + "loss": 5.3545, + "mean_token_accuracy": 0.19902739077806472, + "num_tokens": 19535121.0, + "step": 8925 + }, + { + "entropy": 6.313183736801148, + "epoch": 9.530699412706888, + "grad_norm": 1.140625, + "learning_rate": 5.294472440279293e-05, + "loss": 5.439, + "mean_token_accuracy": 0.19161880016326904, + "num_tokens": 19546711.0, + "step": 8930 + }, + { + "entropy": 6.276342391967773, + "epoch": 9.536038441003738, + "grad_norm": 1.3125, + "learning_rate": 5.2876942768866385e-05, + "loss": 5.4662, + "mean_token_accuracy": 0.19173189252614975, + "num_tokens": 19558628.0, + "step": 8935 + }, + { + "entropy": 6.283579540252686, + "epoch": 9.541377469300587, + "grad_norm": 1.2109375, + "learning_rate": 5.280994532388149e-05, + "loss": 5.3781, + "mean_token_accuracy": 0.19563505798578262, + "num_tokens": 19569152.0, + "step": 8940 + }, + { + "entropy": 6.342125988006591, + "epoch": 9.546716497597437, + "grad_norm": 1.2890625, + "learning_rate": 5.274373230436775e-05, + "loss": 5.4075, + "mean_token_accuracy": 0.19539266228675842, + "num_tokens": 19579824.0, + "step": 8945 + }, + { + "entropy": 6.3311162948608395, + "epoch": 9.552055525894287, + "grad_norm": 1.1640625, + "learning_rate": 5.267830394408531e-05, + "loss": 5.44, + "mean_token_accuracy": 0.18797385543584824, + "num_tokens": 19590315.0, + "step": 8950 + }, + { + "entropy": 6.299485445022583, + "epoch": 9.557394554191138, + "grad_norm": 1.125, + "learning_rate": 5.261366047402413e-05, + "loss": 5.3556, + "mean_token_accuracy": 0.20104770362377167, + "num_tokens": 19601561.0, + "step": 8955 + }, + { + "entropy": 6.261062526702881, + "epoch": 9.562733582487986, + "grad_norm": 1.2421875, + "learning_rate": 5.2549802122403195e-05, + "loss": 5.4347, + "mean_token_accuracy": 0.19275831133127214, + "num_tokens": 19613662.0, + "step": 8960 + }, + { + "entropy": 6.329975318908692, + "epoch": 9.568072610784837, + "grad_norm": 1.1328125, + "learning_rate": 5.248672911466959e-05, + "loss": 5.426, + "mean_token_accuracy": 0.19204928278923034, + "num_tokens": 19625525.0, + "step": 8965 + }, + { + "entropy": 6.266425085067749, + "epoch": 9.573411639081687, + "grad_norm": 1.25, + "learning_rate": 5.2424441673498e-05, + "loss": 5.409, + "mean_token_accuracy": 0.19519365727901458, + "num_tokens": 19636505.0, + "step": 8970 + }, + { + "entropy": 6.287335205078125, + "epoch": 9.578750667378538, + "grad_norm": 1.2109375, + "learning_rate": 5.23629400187895e-05, + "loss": 5.3879, + "mean_token_accuracy": 0.1991070419549942, + "num_tokens": 19647314.0, + "step": 8975 + }, + { + "entropy": 6.318078947067261, + "epoch": 9.584089695675386, + "grad_norm": 1.1640625, + "learning_rate": 5.2302224367671166e-05, + "loss": 5.3994, + "mean_token_accuracy": 0.19404184222221374, + "num_tokens": 19658052.0, + "step": 8980 + }, + { + "entropy": 6.295307159423828, + "epoch": 9.589428723972237, + "grad_norm": 1.234375, + "learning_rate": 5.224229493449505e-05, + "loss": 5.3536, + "mean_token_accuracy": 0.20603204965591432, + "num_tokens": 19668589.0, + "step": 8985 + }, + { + "entropy": 6.251272344589234, + "epoch": 9.594767752269087, + "grad_norm": 1.328125, + "learning_rate": 5.2183151930837626e-05, + "loss": 5.4086, + "mean_token_accuracy": 0.19251115918159484, + "num_tokens": 19679759.0, + "step": 8990 + }, + { + "entropy": 6.297881317138672, + "epoch": 9.600106780565937, + "grad_norm": 1.203125, + "learning_rate": 5.212479556549883e-05, + "loss": 5.388, + "mean_token_accuracy": 0.1927838757634163, + "num_tokens": 19690785.0, + "step": 8995 + }, + { + "entropy": 6.299252557754516, + "epoch": 9.605445808862786, + "grad_norm": 1.1953125, + "learning_rate": 5.206722604450148e-05, + "loss": 5.3709, + "mean_token_accuracy": 0.19994686990976335, + "num_tokens": 19702394.0, + "step": 9000 + }, + { + "epoch": 9.605445808862786, + "eval_entropy": 6.120275040415974, + "eval_loss": 6.550008296966553, + "eval_mean_token_accuracy": 0.13517576714421248, + "eval_num_tokens": 19702394.0, + "eval_runtime": 1.8103, + "eval_samples_per_second": 1701.367, + "eval_steps_per_second": 212.671, + "step": 9000 + }, + { + "entropy": 6.290256118774414, + "epoch": 9.610784837159636, + "grad_norm": 1.1484375, + "learning_rate": 5.201044357109047e-05, + "loss": 5.3599, + "mean_token_accuracy": 0.2012845516204834, + "num_tokens": 19713137.0, + "step": 9005 + }, + { + "entropy": 6.23082799911499, + "epoch": 9.616123865456487, + "grad_norm": 1.21875, + "learning_rate": 5.1954448345732133e-05, + "loss": 5.2897, + "mean_token_accuracy": 0.2032169759273529, + "num_tokens": 19724302.0, + "step": 9010 + }, + { + "entropy": 6.314432287216187, + "epoch": 9.621462893753337, + "grad_norm": 1.28125, + "learning_rate": 5.1899240566113436e-05, + "loss": 5.438, + "mean_token_accuracy": 0.1953733667731285, + "num_tokens": 19735302.0, + "step": 9015 + }, + { + "entropy": 6.301742839813232, + "epoch": 9.626801922050188, + "grad_norm": 1.390625, + "learning_rate": 5.184482042714132e-05, + "loss": 5.4432, + "mean_token_accuracy": 0.19119120687246322, + "num_tokens": 19747089.0, + "step": 9020 + }, + { + "entropy": 6.253672790527344, + "epoch": 9.632140950347036, + "grad_norm": 1.234375, + "learning_rate": 5.1791188120942075e-05, + "loss": 5.3214, + "mean_token_accuracy": 0.20582606345415116, + "num_tokens": 19756974.0, + "step": 9025 + }, + { + "entropy": 6.278188705444336, + "epoch": 9.637479978643887, + "grad_norm": 1.21875, + "learning_rate": 5.173834383686056e-05, + "loss": 5.355, + "mean_token_accuracy": 0.19714901596307755, + "num_tokens": 19767556.0, + "step": 9030 + }, + { + "entropy": 6.284007501602173, + "epoch": 9.642819006940737, + "grad_norm": 1.28125, + "learning_rate": 5.1686287761459565e-05, + "loss": 5.4472, + "mean_token_accuracy": 0.19691016972064973, + "num_tokens": 19777123.0, + "step": 9035 + }, + { + "entropy": 6.324623680114746, + "epoch": 9.648158035237588, + "grad_norm": 1.3125, + "learning_rate": 5.1635020078519227e-05, + "loss": 5.4835, + "mean_token_accuracy": 0.18013687282800675, + "num_tokens": 19788244.0, + "step": 9040 + }, + { + "entropy": 6.326438760757446, + "epoch": 9.653497063534436, + "grad_norm": 1.078125, + "learning_rate": 5.158454096903631e-05, + "loss": 5.426, + "mean_token_accuracy": 0.1968817189335823, + "num_tokens": 19799327.0, + "step": 9045 + }, + { + "entropy": 6.288557815551758, + "epoch": 9.658836091831287, + "grad_norm": 1.203125, + "learning_rate": 5.153485061122347e-05, + "loss": 5.3892, + "mean_token_accuracy": 0.1961186483502388, + "num_tokens": 19809672.0, + "step": 9050 + }, + { + "entropy": 6.319461345672607, + "epoch": 9.664175120128137, + "grad_norm": 1.375, + "learning_rate": 5.148594918050893e-05, + "loss": 5.4234, + "mean_token_accuracy": 0.1943323254585266, + "num_tokens": 19820194.0, + "step": 9055 + }, + { + "entropy": 6.23256516456604, + "epoch": 9.669514148424987, + "grad_norm": 1.2734375, + "learning_rate": 5.143783684953549e-05, + "loss": 5.3734, + "mean_token_accuracy": 0.2008483424782753, + "num_tokens": 19830457.0, + "step": 9060 + }, + { + "entropy": 6.290764045715332, + "epoch": 9.674853176721836, + "grad_norm": 1.2265625, + "learning_rate": 5.1390513788160164e-05, + "loss": 5.4343, + "mean_token_accuracy": 0.1943418025970459, + "num_tokens": 19840901.0, + "step": 9065 + }, + { + "entropy": 6.290750217437744, + "epoch": 9.680192205018686, + "grad_norm": 1.0546875, + "learning_rate": 5.1343980163453513e-05, + "loss": 5.4292, + "mean_token_accuracy": 0.1949126899242401, + "num_tokens": 19852352.0, + "step": 9070 + }, + { + "entropy": 6.243222332000732, + "epoch": 9.685531233315537, + "grad_norm": 1.1484375, + "learning_rate": 5.129823613969904e-05, + "loss": 5.4514, + "mean_token_accuracy": 0.1888757422566414, + "num_tokens": 19863351.0, + "step": 9075 + }, + { + "entropy": 6.196452045440674, + "epoch": 9.690870261612387, + "grad_norm": 1.3125, + "learning_rate": 5.125328187839262e-05, + "loss": 5.3105, + "mean_token_accuracy": 0.20151706486940385, + "num_tokens": 19875871.0, + "step": 9080 + }, + { + "entropy": 6.292422723770142, + "epoch": 9.696209289909236, + "grad_norm": 1.0625, + "learning_rate": 5.120911753824192e-05, + "loss": 5.4469, + "mean_token_accuracy": 0.19452553540468215, + "num_tokens": 19887492.0, + "step": 9085 + }, + { + "entropy": 6.342274904251099, + "epoch": 9.701548318206086, + "grad_norm": 1.203125, + "learning_rate": 5.1165743275165885e-05, + "loss": 5.4401, + "mean_token_accuracy": 0.1942036047577858, + "num_tokens": 19899306.0, + "step": 9090 + }, + { + "entropy": 6.291375207901001, + "epoch": 9.706887346502937, + "grad_norm": 1.1328125, + "learning_rate": 5.112315924229409e-05, + "loss": 5.4073, + "mean_token_accuracy": 0.19083765149116516, + "num_tokens": 19910412.0, + "step": 9095 + }, + { + "entropy": 6.3185607433319095, + "epoch": 9.712226374799787, + "grad_norm": 1.2734375, + "learning_rate": 5.108136558996634e-05, + "loss": 5.406, + "mean_token_accuracy": 0.1944574609398842, + "num_tokens": 19921718.0, + "step": 9100 + }, + { + "entropy": 6.285332441329956, + "epoch": 9.717565403096636, + "grad_norm": 1.171875, + "learning_rate": 5.1040362465732e-05, + "loss": 5.4201, + "mean_token_accuracy": 0.19195159077644347, + "num_tokens": 19933192.0, + "step": 9105 + }, + { + "entropy": 6.2487945556640625, + "epoch": 9.722904431393486, + "grad_norm": 1.1484375, + "learning_rate": 5.100015001434953e-05, + "loss": 5.4062, + "mean_token_accuracy": 0.19561336785554886, + "num_tokens": 19944398.0, + "step": 9110 + }, + { + "entropy": 6.312276983261109, + "epoch": 9.728243459690336, + "grad_norm": 1.265625, + "learning_rate": 5.096072837778601e-05, + "loss": 5.3652, + "mean_token_accuracy": 0.19846275001764296, + "num_tokens": 19954625.0, + "step": 9115 + }, + { + "entropy": 6.2715788841247555, + "epoch": 9.733582487987187, + "grad_norm": 1.1875, + "learning_rate": 5.092209769521661e-05, + "loss": 5.3302, + "mean_token_accuracy": 0.20155353397130965, + "num_tokens": 19964960.0, + "step": 9120 + }, + { + "entropy": 6.2791149616241455, + "epoch": 9.738921516284037, + "grad_norm": 1.359375, + "learning_rate": 5.0884258103024104e-05, + "loss": 5.3735, + "mean_token_accuracy": 0.1931841790676117, + "num_tokens": 19974947.0, + "step": 9125 + }, + { + "entropy": 6.304941177368164, + "epoch": 9.744260544580886, + "grad_norm": 1.28125, + "learning_rate": 5.084720973479831e-05, + "loss": 5.4302, + "mean_token_accuracy": 0.19329258054494858, + "num_tokens": 19985498.0, + "step": 9130 + }, + { + "entropy": 6.26310715675354, + "epoch": 9.749599572877736, + "grad_norm": 1.0703125, + "learning_rate": 5.081095272133579e-05, + "loss": 5.3031, + "mean_token_accuracy": 0.21339126229286193, + "num_tokens": 19997663.0, + "step": 9135 + }, + { + "entropy": 6.320000219345093, + "epoch": 9.754938601174587, + "grad_norm": 1.3046875, + "learning_rate": 5.0775487190639164e-05, + "loss": 5.3627, + "mean_token_accuracy": 0.19529865086078643, + "num_tokens": 20008580.0, + "step": 9140 + }, + { + "entropy": 6.271733522415161, + "epoch": 9.760277629471435, + "grad_norm": 1.0078125, + "learning_rate": 5.074081326791692e-05, + "loss": 5.4209, + "mean_token_accuracy": 0.19285557717084884, + "num_tokens": 20020760.0, + "step": 9145 + }, + { + "entropy": 6.282210397720337, + "epoch": 9.765616657768286, + "grad_norm": 1.2578125, + "learning_rate": 5.070693107558274e-05, + "loss": 5.3671, + "mean_token_accuracy": 0.19827128648757936, + "num_tokens": 20031751.0, + "step": 9150 + }, + { + "entropy": 6.303864002227783, + "epoch": 9.770955686065136, + "grad_norm": 1.171875, + "learning_rate": 5.067384073325518e-05, + "loss": 5.4921, + "mean_token_accuracy": 0.18973946273326875, + "num_tokens": 20042293.0, + "step": 9155 + }, + { + "entropy": 6.274455881118774, + "epoch": 9.776294714361986, + "grad_norm": 1.140625, + "learning_rate": 5.064154235775724e-05, + "loss": 5.3849, + "mean_token_accuracy": 0.19063759595155716, + "num_tokens": 20053110.0, + "step": 9160 + }, + { + "entropy": 6.263268613815308, + "epoch": 9.781633742658837, + "grad_norm": 1.390625, + "learning_rate": 5.061003606311592e-05, + "loss": 5.3148, + "mean_token_accuracy": 0.1992083564400673, + "num_tokens": 20063306.0, + "step": 9165 + }, + { + "entropy": 6.246716165542603, + "epoch": 9.786972770955686, + "grad_norm": 1.1015625, + "learning_rate": 5.057932196056189e-05, + "loss": 5.3925, + "mean_token_accuracy": 0.195957013964653, + "num_tokens": 20074716.0, + "step": 9170 + }, + { + "entropy": 6.354883337020874, + "epoch": 9.792311799252536, + "grad_norm": 1.375, + "learning_rate": 5.0549400158528966e-05, + "loss": 5.506, + "mean_token_accuracy": 0.18127121031284332, + "num_tokens": 20084944.0, + "step": 9175 + }, + { + "entropy": 6.325537919998169, + "epoch": 9.797650827549386, + "grad_norm": 1.203125, + "learning_rate": 5.0520270762653866e-05, + "loss": 5.4198, + "mean_token_accuracy": 0.19326557219028473, + "num_tokens": 20095436.0, + "step": 9180 + }, + { + "entropy": 6.329968738555908, + "epoch": 9.802989855846237, + "grad_norm": 1.1875, + "learning_rate": 5.049193387577574e-05, + "loss": 5.461, + "mean_token_accuracy": 0.18755955547094344, + "num_tokens": 20106757.0, + "step": 9185 + }, + { + "entropy": 6.335523796081543, + "epoch": 9.808328884143085, + "grad_norm": 1.265625, + "learning_rate": 5.046438959793586e-05, + "loss": 5.4066, + "mean_token_accuracy": 0.19587553143501282, + "num_tokens": 20118122.0, + "step": 9190 + }, + { + "entropy": 6.2556627750396725, + "epoch": 9.813667912439936, + "grad_norm": 1.265625, + "learning_rate": 5.0437638026377274e-05, + "loss": 5.3486, + "mean_token_accuracy": 0.199265056848526, + "num_tokens": 20129948.0, + "step": 9195 + }, + { + "entropy": 6.27778000831604, + "epoch": 9.819006940736786, + "grad_norm": 1.21875, + "learning_rate": 5.0411679255544405e-05, + "loss": 5.4343, + "mean_token_accuracy": 0.19429014027118682, + "num_tokens": 20140421.0, + "step": 9200 + }, + { + "entropy": 6.258305788040161, + "epoch": 9.824345969033637, + "grad_norm": 1.0546875, + "learning_rate": 5.0386513377082756e-05, + "loss": 5.3836, + "mean_token_accuracy": 0.19233323484659196, + "num_tokens": 20152399.0, + "step": 9205 + }, + { + "entropy": 6.319499349594116, + "epoch": 9.829684997330485, + "grad_norm": 1.171875, + "learning_rate": 5.036214047983859e-05, + "loss": 5.4427, + "mean_token_accuracy": 0.19616758078336716, + "num_tokens": 20162893.0, + "step": 9210 + }, + { + "entropy": 6.306321716308593, + "epoch": 9.835024025627336, + "grad_norm": 1.3046875, + "learning_rate": 5.033856064985863e-05, + "loss": 5.3981, + "mean_token_accuracy": 0.19886463433504104, + "num_tokens": 20173695.0, + "step": 9215 + }, + { + "entropy": 6.291854619979858, + "epoch": 9.840363053924186, + "grad_norm": 1.1640625, + "learning_rate": 5.031577397038969e-05, + "loss": 5.4686, + "mean_token_accuracy": 0.1900296166539192, + "num_tokens": 20185147.0, + "step": 9220 + }, + { + "entropy": 6.295867538452148, + "epoch": 9.845702082221036, + "grad_norm": 1.2265625, + "learning_rate": 5.029378052187848e-05, + "loss": 5.4641, + "mean_token_accuracy": 0.1876828297972679, + "num_tokens": 20196665.0, + "step": 9225 + }, + { + "entropy": 6.273441457748413, + "epoch": 9.851041110517885, + "grad_norm": 1.2890625, + "learning_rate": 5.02725803819712e-05, + "loss": 5.336, + "mean_token_accuracy": 0.20544504076242448, + "num_tokens": 20207427.0, + "step": 9230 + }, + { + "entropy": 6.351820373535157, + "epoch": 9.856380138814735, + "grad_norm": 1.2421875, + "learning_rate": 5.025217362551337e-05, + "loss": 5.4591, + "mean_token_accuracy": 0.1901904195547104, + "num_tokens": 20220705.0, + "step": 9235 + }, + { + "entropy": 6.229749298095703, + "epoch": 9.861719167111586, + "grad_norm": 1.3515625, + "learning_rate": 5.023256032454956e-05, + "loss": 5.2338, + "mean_token_accuracy": 0.21689044684171677, + "num_tokens": 20230241.0, + "step": 9240 + }, + { + "entropy": 6.208050775527954, + "epoch": 9.867058195408436, + "grad_norm": 1.2265625, + "learning_rate": 5.021374054832304e-05, + "loss": 5.3703, + "mean_token_accuracy": 0.1989450752735138, + "num_tokens": 20241813.0, + "step": 9245 + }, + { + "entropy": 6.225540447235107, + "epoch": 9.872397223705285, + "grad_norm": 1.265625, + "learning_rate": 5.0195714363275615e-05, + "loss": 5.2901, + "mean_token_accuracy": 0.19797505140304567, + "num_tokens": 20253359.0, + "step": 9250 + }, + { + "entropy": 6.248586368560791, + "epoch": 9.877736252002135, + "grad_norm": 1.25, + "learning_rate": 5.017848183304743e-05, + "loss": 5.3858, + "mean_token_accuracy": 0.20024796575307846, + "num_tokens": 20263377.0, + "step": 9255 + }, + { + "entropy": 6.304415845870972, + "epoch": 9.883075280298986, + "grad_norm": 1.1484375, + "learning_rate": 5.016204301847665e-05, + "loss": 5.3958, + "mean_token_accuracy": 0.20311103016138077, + "num_tokens": 20274734.0, + "step": 9260 + }, + { + "entropy": 6.334533166885376, + "epoch": 9.888414308595836, + "grad_norm": 1.1015625, + "learning_rate": 5.0146397977599264e-05, + "loss": 5.4649, + "mean_token_accuracy": 0.18885774165391922, + "num_tokens": 20287517.0, + "step": 9265 + }, + { + "entropy": 6.31162919998169, + "epoch": 9.893753336892686, + "grad_norm": 1.3203125, + "learning_rate": 5.013154676564892e-05, + "loss": 5.372, + "mean_token_accuracy": 0.19851657450199128, + "num_tokens": 20297683.0, + "step": 9270 + }, + { + "entropy": 6.285402011871338, + "epoch": 9.899092365189535, + "grad_norm": 1.2421875, + "learning_rate": 5.0117489435056754e-05, + "loss": 5.3569, + "mean_token_accuracy": 0.19836218655109406, + "num_tokens": 20307947.0, + "step": 9275 + }, + { + "entropy": 6.229357671737671, + "epoch": 9.904431393486385, + "grad_norm": 1.1328125, + "learning_rate": 5.010422603545112e-05, + "loss": 5.3742, + "mean_token_accuracy": 0.19662382155656816, + "num_tokens": 20319838.0, + "step": 9280 + }, + { + "entropy": 6.2321373462677006, + "epoch": 9.909770421783236, + "grad_norm": 1.203125, + "learning_rate": 5.009175661365743e-05, + "loss": 5.2672, + "mean_token_accuracy": 0.2050779268145561, + "num_tokens": 20330467.0, + "step": 9285 + }, + { + "entropy": 6.306796312332153, + "epoch": 9.915109450080084, + "grad_norm": 1.2109375, + "learning_rate": 5.0080081213698074e-05, + "loss": 5.4319, + "mean_token_accuracy": 0.19407758861780167, + "num_tokens": 20341686.0, + "step": 9290 + }, + { + "entropy": 6.304175949096679, + "epoch": 9.920448478376935, + "grad_norm": 1.171875, + "learning_rate": 5.00691998767922e-05, + "loss": 5.4504, + "mean_token_accuracy": 0.19805026203393936, + "num_tokens": 20352798.0, + "step": 9295 + }, + { + "entropy": 6.31003246307373, + "epoch": 9.925787506673785, + "grad_norm": 1.265625, + "learning_rate": 5.005911264135551e-05, + "loss": 5.4038, + "mean_token_accuracy": 0.19758603423833848, + "num_tokens": 20363577.0, + "step": 9300 + }, + { + "entropy": 6.33183217048645, + "epoch": 9.931126534970636, + "grad_norm": 1.203125, + "learning_rate": 5.0049819543000285e-05, + "loss": 5.4338, + "mean_token_accuracy": 0.1869886964559555, + "num_tokens": 20374028.0, + "step": 9305 + }, + { + "entropy": 6.210221481323242, + "epoch": 9.936465563267486, + "grad_norm": 1.140625, + "learning_rate": 5.004132061453512e-05, + "loss": 5.3039, + "mean_token_accuracy": 0.20492296367883683, + "num_tokens": 20384907.0, + "step": 9310 + }, + { + "entropy": 6.281497192382813, + "epoch": 9.941804591564335, + "grad_norm": 1.171875, + "learning_rate": 5.003361588596482e-05, + "loss": 5.3362, + "mean_token_accuracy": 0.1993270546197891, + "num_tokens": 20396223.0, + "step": 9315 + }, + { + "entropy": 6.27079496383667, + "epoch": 9.947143619861185, + "grad_norm": 1.2265625, + "learning_rate": 5.0026705384490366e-05, + "loss": 5.3659, + "mean_token_accuracy": 0.1996488407254219, + "num_tokens": 20406450.0, + "step": 9320 + }, + { + "entropy": 6.283566093444824, + "epoch": 9.952482648158036, + "grad_norm": 1.2578125, + "learning_rate": 5.002058913450876e-05, + "loss": 5.355, + "mean_token_accuracy": 0.1983364626765251, + "num_tokens": 20417407.0, + "step": 9325 + }, + { + "entropy": 6.266901111602783, + "epoch": 9.957821676454886, + "grad_norm": 1.3359375, + "learning_rate": 5.001526715761301e-05, + "loss": 5.3673, + "mean_token_accuracy": 0.19686105400323867, + "num_tokens": 20427894.0, + "step": 9330 + }, + { + "entropy": 6.256697273254394, + "epoch": 9.963160704751735, + "grad_norm": 1.2578125, + "learning_rate": 5.00107394725919e-05, + "loss": 5.4222, + "mean_token_accuracy": 0.1950857698917389, + "num_tokens": 20437842.0, + "step": 9335 + }, + { + "entropy": 6.202639198303222, + "epoch": 9.968499733048585, + "grad_norm": 1.234375, + "learning_rate": 5.0007006095430134e-05, + "loss": 5.332, + "mean_token_accuracy": 0.2034511983394623, + "num_tokens": 20448266.0, + "step": 9340 + }, + { + "entropy": 6.286227416992188, + "epoch": 9.973838761345435, + "grad_norm": 1.3828125, + "learning_rate": 5.000406703930811e-05, + "loss": 5.4168, + "mean_token_accuracy": 0.1973090097308159, + "num_tokens": 20458328.0, + "step": 9345 + }, + { + "entropy": 6.255052375793457, + "epoch": 9.979177789642286, + "grad_norm": 1.2109375, + "learning_rate": 5.0001922314601955e-05, + "loss": 5.3544, + "mean_token_accuracy": 0.20041885673999787, + "num_tokens": 20468523.0, + "step": 9350 + }, + { + "entropy": 6.240312576293945, + "epoch": 9.984516817939134, + "grad_norm": 1.140625, + "learning_rate": 5.000057192888341e-05, + "loss": 5.3593, + "mean_token_accuracy": 0.19507021754980086, + "num_tokens": 20478974.0, + "step": 9355 + }, + { + "entropy": 6.268662214279175, + "epoch": 9.989855846235985, + "grad_norm": 1.2265625, + "learning_rate": 5.000001588691998e-05, + "loss": 5.4356, + "mean_token_accuracy": 0.19796158224344254, + "num_tokens": 20490325.0, + "step": 9360 + } + ], + "logging_steps": 5, + "max_steps": 9360, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 4452512564736000.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9360/training_args.bin b/checkpoint-9360/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/checkpoint-9360/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353 diff --git a/config.json b/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..4ca862b --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8a1bbf967ffb2a981995ad08c2d64b6f7ad56c729cc9bd7e8ad7f371c09f6e4 +size 78179408 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/spiece.model b/spiece.model new file mode 100644 index 0000000..31d6f6b --- /dev/null +++ b/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097779febe3e13e4a53d31ae9149f98d1a38f4c8c15cf27a155f397cf570b9d8 +size 1283020 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..7a7ada3 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0106fec4fd757d2494389c340e15e14d5fe5fce01a8958e2c1706b852900146b +size 6353